iPad Pro (11-inch, 4th generation)
Geekbench ML Score
5069
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 15 2024 11:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3447
645.0 IPS |
|
|
Image Classification (F16)
|
100% |
3341
625.2 IPS |
|
|
Image Classification (I8)
|
99% |
2991
559.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1535
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1519
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23525
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24983
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24343
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
2815
210.2 IPS |
|
|
Object Detection (I8)
|
97% |
2534
189.2 IPS |
|
|
Face Detection (F32)
|
100% |
9466
112.6 IPS |
|
|
Face Detection (F16)
|
97% |
10436
124.1 IPS |
|
|
Face Detection (I8)
|
96% |
9914
117.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16345
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17303
134.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
15657
121.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39289
51.7 IPS |
|
|
Style Transfer (F16)
|
100% |
43442
57.1 IPS |
|
|
Style Transfer (I8)
|
100% |
43031
56.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8001
285.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7899
282.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7237
258.5 IPS |
|
|
Text Classification (F32)
|
100% |
1136
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
763
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
760
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
792
14.6 IPS |
|
|
Machine Translation (I8)
|
99% |
715
13.2 IPS |
