iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2975
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 06:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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 | 15.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1293
241.9 IPS |
|
|
Image Classification (F16)
|
100% |
1673
313.0 IPS |
|
|
Image Classification (I8)
|
99% |
1677
313.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
589
9.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
588
9.82 IPS |
|
|
Image Segmentation (I8)
|
100% |
590
9.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
5641
6.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
12945
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12951
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1258
93.9 IPS |
|
|
Object Detection (F16)
|
100% |
1737
129.7 IPS |
|
|
Object Detection (I8)
|
97% |
1260
94.0 IPS |
|
|
Face Detection (F32)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (F16)
|
97% |
3998
47.5 IPS |
|
|
Face Detection (I8)
|
97% |
3996
47.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5180
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8118
63.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8112
62.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15622
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24294
32.0 IPS |
|
|
Style Transfer (I8)
|
100% |
24328
32.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3504
125.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4533
161.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4551
162.5 IPS |
|
|
Text Classification (F32)
|
100% |
2094
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3128
4.50 KIPS |
|
|
Text Classification (I8)
|
96% |
3351
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
718
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
715
13.2 IPS |
