iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2995
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1282
240.0 IPS |
|
|
Image Classification (F16)
|
100% |
1659
310.4 IPS |
|
|
Image Classification (I8)
|
99% |
1665
311.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
592
9.88 IPS |
|
|
Image Segmentation (I8)
|
100% |
601
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5630
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12932
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12940
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1317
98.3 IPS |
|
|
Object Detection (F16)
|
100% |
1749
130.6 IPS |
|
|
Object Detection (I8)
|
97% |
1310
97.8 IPS |
|
|
Face Detection (F32)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
4006
47.6 IPS |
|
|
Face Detection (I8)
|
97% |
4004
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5198
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8133
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8149
63.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15624
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24448
32.2 IPS |
|
|
Style Transfer (I8)
|
100% |
24431
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3487
124.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4582
163.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4573
163.3 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3167
4.55 KIPS |
|
|
Text Classification (I8)
|
96% |
3235
4.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
734
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
735
13.5 IPS |
