iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
3010
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 08:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1288
241.0 IPS |
|
|
Image Classification (F16)
|
100% |
1683
315.0 IPS |
|
|
Image Classification (I8)
|
99% |
1687
315.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
632
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
620
10.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
626
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5630
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12724
15.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12777
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1255
93.7 IPS |
|
|
Object Detection (F16)
|
100% |
1760
131.4 IPS |
|
|
Object Detection (I8)
|
97% |
1277
95.4 IPS |
|
|
Face Detection (F32)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
4022
47.8 IPS |
|
|
Face Detection (I8)
|
97% |
4033
48.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5191
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8137
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8126
63.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15632
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24410
32.1 IPS |
|
|
Style Transfer (I8)
|
100% |
24382
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3515
125.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4514
161.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4487
160.2 IPS |
|
|
Text Classification (F32)
|
100% |
2115
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3423
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3401
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
725
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
730
13.4 IPS |
