iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2995
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 03:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1276
238.8 IPS |
|
|
Image Classification (F16)
|
100% |
1674
313.3 IPS |
|
|
Image Classification (I8)
|
99% |
1667
312.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
592
9.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
596
9.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
591
9.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
5629
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12946
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12949
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1302
97.2 IPS |
|
|
Object Detection (F16)
|
100% |
1737
129.7 IPS |
|
|
Object Detection (I8)
|
97% |
1302
97.2 IPS |
|
|
Face Detection (F32)
|
100% |
2361
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
3968
47.2 IPS |
|
|
Face Detection (I8)
|
97% |
3969
47.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5173
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8095
62.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8111
62.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15621
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24285
31.9 IPS |
|
|
Style Transfer (I8)
|
100% |
24292
32.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3484
124.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4827
172.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4497
160.6 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3400
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3373
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
725
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
858
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
721
13.3 IPS |
