iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2720
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 01:32 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3983
426.8 IPS |
|
|
Image Classification (F16)
|
100% |
5200
557.2 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
8100
50.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
11419
70.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1257
7.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
2845
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
6788
27.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3499
122.8 IPS |
|
|
Object Detection (F16)
|
100% |
3484
122.3 IPS |
|
|
Object Detection (I8)
|
52% |
987
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
6985
80.2 IPS |
|
|
Face Detection (F16)
|
97% |
12383
142.3 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
2386
943.8 IPS |
|
|
Text Classification (F16)
|
100% |
2890
1.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1848
284.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1838
283.2 IPS |
