iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3001
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 11:06 AM |
| 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% |
1282
239.9 IPS |
|
|
Image Classification (F16)
|
100% |
1664
311.4 IPS |
|
|
Image Classification (I8)
|
99% |
1669
312.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
595
9.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
594
9.92 IPS |
|
|
Image Segmentation (I8)
|
100% |
596
9.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
5629
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12923
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12933
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1303
97.3 IPS |
|
|
Object Detection (F16)
|
100% |
1741
130.0 IPS |
|
|
Object Detection (I8)
|
97% |
1309
97.7 IPS |
|
|
Face Detection (F32)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
3995
47.5 IPS |
|
|
Face Detection (I8)
|
97% |
4002
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5184
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8137
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8141
63.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15627
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24341
32.0 IPS |
|
|
Style Transfer (I8)
|
100% |
24347
32.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3474
124.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4638
165.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4623
165.1 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3363
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3369
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
730
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
736
13.6 IPS |
