iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2925
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:39 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% |
1274
238.3 IPS |
|
|
Image Classification (F16)
|
100% |
1665
311.5 IPS |
|
|
Image Classification (I8)
|
99% |
1581
295.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
570
9.52 IPS |
|
|
Image Segmentation (I8)
|
100% |
594
9.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
5625
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
12064
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12072
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1239
92.5 IPS |
|
|
Object Detection (F16)
|
100% |
1736
129.6 IPS |
|
|
Object Detection (I8)
|
97% |
1303
97.3 IPS |
|
|
Face Detection (F32)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (F16)
|
97% |
3991
47.5 IPS |
|
|
Face Detection (I8)
|
97% |
3792
45.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5171
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7401
57.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
7707
59.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15515
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
24219
31.9 IPS |
|
|
Style Transfer (I8)
|
100% |
22675
29.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3496
124.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4542
162.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4817
172.0 IPS |
|
|
Text Classification (F32)
|
100% |
1962
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3487
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3100
4.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
713
13.1 IPS |
|
|
Machine Translation (F16)
|
100% |
847
15.6 IPS |
|
|
Machine Translation (I8)
|
99% |
706
13.0 IPS |
