iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
5183
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 05:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3382
632.9 IPS |
|
|
Image Classification (F16)
|
100% |
3413
638.6 IPS |
|
|
Image Classification (I8)
|
99% |
3022
565.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1442
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1538
25.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1541
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23468
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24969
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24375
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2830
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
2854
213.1 IPS |
|
|
Object Detection (I8)
|
97% |
2589
193.3 IPS |
|
|
Face Detection (F32)
|
100% |
9330
110.9 IPS |
|
|
Face Detection (F16)
|
98% |
10567
125.6 IPS |
|
|
Face Detection (I8)
|
97% |
10116
120.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16271
126.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17454
135.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
15885
123.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40981
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
46968
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
43175
56.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9496
339.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10123
361.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7365
263.0 IPS |
|
|
Text Classification (F32)
|
100% |
1125
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
745
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
732
1.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
794
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
800
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
748
13.8 IPS |
