iQOO 12
Smartphone Released
- Display diagonal
- 6.78 in
- Refresh rate
- 144 Hz
- Chipset
- Battery capacity
- 5,000 mAh
Graphics & compute benchmarks
GFXBench, GLBenchmark and CompuBench results retain the tested system, API, operating system and resolution. Offscreen tests fix the render resolution; onscreen results also reflect the display workload. These historical submissions do not establish performance in current games.
Aztec Ruins Normal TierAndroid / OpenGL / 2680 x 1260 / onscreen · fps
Higher is better.
iQOO 12
109.64* fps
Vivo iQOO 12
Qualcomm Adreno (TM) 750 · SoC: Qualcomm (ARMv8)
Aztec Ruins Normal TierAndroid / Vulkan / 2680 x 1260 / onscreen · fps
Higher is better.
iQOO 12
117.84* fps
Vivo iQOO 12
Qualcomm Adreno (TM) 750 · SoC: Qualcomm (ARMv8)
Car ChaseAndroid / OpenGL / 2680 x 1260 / onscreen · fps
Higher is better.
iQOO 12
90.67* fps
Vivo iQOO 12
Qualcomm Adreno (TM) 750 · SoC: Qualcomm (ARMv8)
Driver Overhead 2Android / OpenGL / 2680 x 1260 / onscreen · fps
Higher is better.
iQOO 12
90.03* fps
Vivo iQOO 12
Qualcomm Adreno (TM) 750 · SoC: Qualcomm (ARMv8)
Manhattan 3.1Android / OpenGL / 2680 x 1260 / onscreen · fps
Higher is better.
iQOO 12
119.74* fps
Vivo iQOO 12
Qualcomm Adreno (TM) 750 · SoC: Qualcomm (ARMv8)
ManhattanAndroid / OpenGL / 2680 x 1260 / onscreen · fps
Higher is better.
iQOO 12
120.01* fps
Vivo iQOO 12
Qualcomm Adreno (TM) 750 · SoC: Qualcomm (ARMv8)
TessellationAndroid / OpenGL / 2680 x 1260 / onscreen · fps
Higher is better.
iQOO 12
119.82* fps
Vivo iQOO 12
Qualcomm Adreno (TM) 750 · SoC: Qualcomm (ARMv8)
TexturingAndroid / OpenGL / 2680 x 1260 / onscreen · MTexels/s
Higher is better.
iQOO 12
57,017* MTexels/s
Vivo iQOO 12
Qualcomm Adreno (TM) 750 · SoC: Qualcomm (ARMv8)
Median results, not the best run. Sample counts and individual test dates are unreported. Different systems using the same GPU remain separate configurations.
Recorded results
Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.
MLPerf Mobile / EDSRSingleStream · 4.0 · ms
iQOO 12
6.18* ms
- Division
- closed
- Submitter
- Qualcomm_Innovation_Center
- Tested device
- Vivo IQOO 12
- Tested chip
- Qualcomm Snapdragon 8 Gen 3 Mobile Platform
- Operating system
- PD2307_A_14.0.17.8.W10.V0101L18
- Software stack
- Qualcomm AI Stack -- Qualcomm Neural Processing SDK v2.20.0
- Evaluated configuration
- 2xLPDDr5 12+12GB
- Input data types
- UINT8
- Weight precision
- We transform the fp32 weights to int8
- Starting weights filename
- https://github.com/mlcommons/mobile_open/blob/main/vision/edsr/models_and_checkpoints/checkpoints/f32b5/ckpt_qat/saved_model.pb
- Statistic
- 90th percentile latency
- Direction
- lower
- Accuracy status
- Published submission; accuracy evidence not independently verified
- Source system id
- SD8G3
MLPerf Mobile / mobileBERTSingleStream · 4.0 · ms
iQOO 12
2.31* ms
- Division
- closed
- Submitter
- Qualcomm_Innovation_Center
- Tested device
- Vivo IQOO 12
- Tested chip
- Qualcomm Snapdragon 8 Gen 3 Mobile Platform
- Operating system
- PD2307_A_14.0.17.8.W10.V0101L18
- Software stack
- Qualcomm AI Stack -- Qualcomm Neural Processing SDK v2.20.0
- Evaluated configuration
- 2xLPDDr5 12+12GB
- Input data types
- FLOAT32
- Weight precision
- We transform the fp32 weights to int8
- Starting weights filename
- https://github.com/mlcommons/mobile_open/blob/master/language/bert/models_and_code/checkpoints/quant/saved_model.pb
- Statistic
- 90th percentile latency
- Direction
- lower
- Accuracy status
- Published submission; accuracy evidence not independently verified
- Source system id
- SD8G3
MLPerf Mobile / mobiledetSSDSingleStream · 4.0 · ms
iQOO 12
0.41* ms
- Division
- closed
- Submitter
- Qualcomm_Innovation_Center
- Tested device
- Vivo IQOO 12
- Tested chip
- Qualcomm Snapdragon 8 Gen 3 Mobile Platform
- Operating system
- PD2307_A_14.0.17.8.W10.V0101L18
- Software stack
- Qualcomm AI Stack -- Qualcomm Neural Processing SDK v2.20.0
- Evaluated configuration
- 2xLPDDr5 12+12GB
- Input data types
- UINT8
- Weight precision
- We transform the fp32 weights to int8
- Starting weights filename
- https://github.com/mlcommons/mobile_open/raw/master/vision/mobiledet/uint8/export_inference_graph/frozen_inference_graph.pb
- Statistic
- 90th percentile latency
- Direction
- lower
- Accuracy status
- Published submission; accuracy evidence not independently verified
- Source system id
- SD8G3
MLPerf Mobile / mobilenetEdgeTPUOffline · 4.0 · samples/s
iQOO 12
7,433.84* samples/s
- Division
- closed
- Submitter
- Qualcomm_Innovation_Center
- Tested device
- Vivo IQOO 12
- Tested chip
- Qualcomm Snapdragon 8 Gen 3 Mobile Platform
- Operating system
- PD2307_A_14.0.17.8.W10.V0101L18
- Software stack
- Qualcomm AI Stack -- Qualcomm Neural Processing SDK v2.20.0
- Evaluated configuration
- 2xLPDDr5 12+12GB
- Input data types
- UINT8
- Weight precision
- We transform the fp32 weights to int8
- Starting weights filename
- https://github.com/mlcommons/mobile_open/blob/master/vision/mobilenet/models_and_code/checkpoints/float/edge_frozen_graph_v1x.pb
- Statistic
- throughput
- Direction
- higher
- Accuracy status
- Published submission; accuracy evidence not independently verified
- Source system id
- SD8G3
MLPerf Mobile / mobilenetEdgeTPUSingleStream · 4.0 · ms
iQOO 12
0.18* ms
- Division
- closed
- Submitter
- Qualcomm_Innovation_Center
- Tested device
- Vivo IQOO 12
- Tested chip
- Qualcomm Snapdragon 8 Gen 3 Mobile Platform
- Operating system
- PD2307_A_14.0.17.8.W10.V0101L18
- Software stack
- Qualcomm AI Stack -- Qualcomm Neural Processing SDK v2.20.0
- Evaluated configuration
- 2xLPDDr5 12+12GB
- Input data types
- UINT8
- Weight precision
- We transform the fp32 weights to int8
- Starting weights filename
- https://github.com/mlcommons/mobile_open/blob/master/vision/mobilenet/models_and_code/checkpoints/float/edge_frozen_graph_v1x.pb
- Statistic
- 90th percentile latency
- Direction
- lower
- Accuracy status
- Published submission; accuracy evidence not independently verified
- Source system id
- SD8G3
MLPerf Mobile / mobilenetV4Offline · 4.0 · samples/s
iQOO 12
1,628.38* samples/s
- Division
- closed
- Submitter
- Qualcomm_Innovation_Center
- Tested device
- Vivo IQOO 12
- Tested chip
- Qualcomm Snapdragon 8 Gen 3 Mobile Platform
- Operating system
- PD2307_A_14.0.17.8.W10.V0101L18
- Software stack
- Qualcomm AI Stack -- Qualcomm Neural Processing SDK v2.20.0
- Evaluated configuration
- 2xLPDDr5 12+12GB
- Input data types
- UINT8
- Weight precision
- We transform the fp32 weights to int8
- Starting weights filename
- https://github.com/mlcommons/mobile_open/releases/download/model_upload/MobileNetV4-Conv-Large-saved-model.zip
- Statistic
- throughput
- Direction
- higher
- Accuracy status
- Published submission; accuracy evidence not independently verified
- Source system id
- SD8G3
MLPerf Mobile / mobilenetV4SingleStream · 4.0 · ms
iQOO 12
0.87* ms
- Division
- closed
- Submitter
- Qualcomm_Innovation_Center
- Tested device
- Vivo IQOO 12
- Tested chip
- Qualcomm Snapdragon 8 Gen 3 Mobile Platform
- Operating system
- PD2307_A_14.0.17.8.W10.V0101L18
- Software stack
- Qualcomm AI Stack -- Qualcomm Neural Processing SDK v2.20.0
- Evaluated configuration
- 2xLPDDr5 12+12GB
- Input data types
- UINT8
- Weight precision
- We transform the fp32 weights to int8
- Starting weights filename
- https://github.com/mlcommons/mobile_open/releases/download/model_upload/MobileNetV4-Conv-Large-saved-model.zip
- Statistic
- 90th percentile latency
- Direction
- lower
- Accuracy status
- Published submission; accuracy evidence not independently verified
- Source system id
- SD8G3
MLPerf Mobile / mosaicSingleStream · 4.0 · ms
iQOO 12
0.66* ms
- Division
- closed
- Submitter
- Qualcomm_Innovation_Center
- Tested device
- Vivo IQOO 12
- Tested chip
- Qualcomm Snapdragon 8 Gen 3 Mobile Platform
- Operating system
- PD2307_A_14.0.17.8.W10.V0101L18
- Software stack
- Qualcomm AI Stack -- Qualcomm Neural Processing SDK v2.20.0
- Evaluated configuration
- 2xLPDDr5 12+12GB
- Input data types
- UINT8
- Weight precision
- We transform the fp32 weights to int8
- Starting weights filename
- https://github.com/mlcommons/mobile_open/raw/main/vision/mosaic/models_and_checkpoints/R4/mobile_segmenter_r4_frozen_graph.pb
- Statistic
- 90th percentile latency
- Direction
- lower
- Accuracy status
- Published submission; accuracy evidence not independently verified
- Source system id
- SD8G3
Display
- Display diagonal
- 6.78 in
- Resolution
- 3200x1440
- Panel
- LTPO AMOLED
- Refresh rate
- 144 Hz
- Horizontal pixels
- 1,440 px
- Vertical pixels
- 3,200 px
Processing & platform
- Chipset
Memory & storage
Memory options
- 12 GB
- Capacity
- 12 GB
Storage options
- 256 GB
- Capacity
- 256 GB
- 512 GB
- Capacity
- 512 GB
- 1024 GB
- Capacity
- 1,024 GB
Cameras
- Main Light-capture estimateNot available Sensor size and aperture are needed.
- Aperture
- 1.68 f-number
- Resolution
- 50 MP
- Role
- main
- Stabilization
- OIS
- Ultrawide Light-capture estimateNot available Sensor size and aperture are needed.
- Aperture
- 2 f-number
- Resolution
- 50 MP
- Role
- ultrawide
- Stabilization
- No OIS
- Telephoto Estimated light-capture index≈ 2.2* Estimated · full frame at f/2 = 100 31.65 mm² · Sensor area and aperture Sensor area index: 3.7*
- Aperture
- 2.57 f-number
- Resolution
- 64 MP
- Optical zoom
- 3 x
- Role
- telephoto
- Sensor model
- OmniVision OV64B
- Stabilization
- OIS
- Selfie Light-capture estimateNot available Sensor size and aperture are needed.
- Aperture
- 2.45 f-number
- Position
- Front
- Resolution
- 16 MP
- Role
- selfie
Area-based index at equal illumination, f-number and exposure time. Not a camera-quality rating; lens transmission, sensor efficiency and processing are excluded.
Area/aperture estimates assume equal scene brightness and exposure time; full frame at f/2 = 100. Nominal-format estimates assume 4:3. Lens transmission, sensor efficiency and processing are not included.
Battery & charging
- Battery capacity
- 5,000 mAh
Charging
- Wired
- Rated charging power
- 120 W
Connectivity & software
- Operating system
- Android
- Wi-Fi
- Wi-Fi 7
- Bluetooth
- 5.4
- NFC
- Yes
Connectivity & features
- USB-C 3.2
Design & dimensions
- Height
- 163.20 mm
- Width
- 75.90 mm
- Thickness
- 8.10 mm
- Weight
- 203 g
- Ingress protection
- IP54
* Provisional data