iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2997
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | seanwomersley |
| Upload Date | May 08 2024 10:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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% |
1282
240.0 IPS |
|
|
Image Classification (F16)
|
100% |
1670
312.6 IPS |
|
|
Image Classification (I8)
|
99% |
1669
312.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
597
9.97 IPS |
|
|
Image Segmentation (I8)
|
100% |
595
9.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
5625
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
12924
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12946
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1311
97.9 IPS |
|
|
Object Detection (F16)
|
100% |
1732
129.3 IPS |
|
|
Object Detection (I8)
|
97% |
1306
97.5 IPS |
|
|
Face Detection (F32)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (F16)
|
97% |
3988
47.4 IPS |
|
|
Face Detection (I8)
|
97% |
3990
47.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5167
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8072
62.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8134
63.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15588
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24530
32.3 IPS |
|
|
Style Transfer (I8)
|
100% |
24340
32.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3467
123.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4555
162.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4551
162.5 IPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3361
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
730
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
863
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
735
13.5 IPS |
