iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1395
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 11:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
846
158.3 IPS |
|
|
Image Classification (F16)
|
100% |
986
184.6 IPS |
|
|
Image Classification (I8)
|
99% |
955
178.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
257
4.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
263
4.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
260
4.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
3006
3.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
4314
5.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
4307
5.22 IPS |
|
|
Object Detection (F32)
|
100% |
900
67.2 IPS |
|
|
Object Detection (F16)
|
100% |
1158
86.5 IPS |
|
|
Object Detection (I8)
|
97% |
895
66.8 IPS |
|
|
Face Detection (F32)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (F16)
|
97% |
3937
46.8 IPS |
|
|
Face Detection (I8)
|
96% |
3938
46.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3276
25.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4789
37.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
4788
37.1 IPS |
|
|
Style Transfer (F32)
|
24% |
8526
11.2 IPS |
|
|
Style Transfer (F16)
|
30% |
12511
16.5 IPS |
|
|
Style Transfer (I8)
|
30% |
12418
16.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1740
62.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2333
83.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2259
80.7 IPS |
|
|
Text Classification (F32)
|
100% |
210
302.3 IPS |
|
|
Text Classification (F16)
|
100% |
252
361.7 IPS |
|
|
Text Classification (I8)
|
96% |
255
366.4 IPS |
|
|
Machine Translation (F32)
|
100% |
361
6.64 IPS |
|
|
Machine Translation (F16)
|
100% |
355
6.54 IPS |
|
|
Machine Translation (I8)
|
99% |
361
6.65 IPS |
