iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2773
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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% |
1233
230.8 IPS |
|
|
Image Classification (F16)
|
100% |
1618
302.9 IPS |
|
|
Image Classification (I8)
|
99% |
1672
312.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
592
9.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
592
9.89 IPS |
|
|
Image Segmentation (I8)
|
100% |
593
9.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
5651
6.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
10297
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11428
13.8 IPS |
|
|
Object Detection (F32)
|
100% |
1142
85.2 IPS |
|
|
Object Detection (F16)
|
100% |
1533
114.4 IPS |
|
|
Object Detection (I8)
|
97% |
1124
83.9 IPS |
|
|
Face Detection (F32)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
3561
42.3 IPS |
|
|
Face Detection (I8)
|
97% |
3533
42.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4606
35.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8108
62.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
6999
54.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12196
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
19841
26.1 IPS |
|
|
Style Transfer (I8)
|
100% |
19680
25.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2697
96.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4515
161.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4481
160.0 IPS |
|
|
Text Classification (F32)
|
100% |
2085
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3378
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3371
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
724
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
867
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
708
13.0 IPS |
