iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1839
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 03 2024 01:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
887
165.9 IPS |
|
|
Image Classification (F16)
|
100% |
846
158.3 IPS |
|
|
Image Classification (I8)
|
99% |
844
158.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
644
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
578
9.65 IPS |
|
|
Image Segmentation (I8)
|
100% |
570
9.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
5191
6.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
9367
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9348
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
892
66.6 IPS |
|
|
Object Detection (F16)
|
100% |
976
72.9 IPS |
|
|
Object Detection (I8)
|
97% |
900
67.2 IPS |
|
|
Face Detection (F32)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (I8)
|
99% |
1593
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3196
24.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3577
27.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3558
27.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9514
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11441
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11351
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2175
77.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2388
85.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2384
85.1 IPS |
|
|
Text Classification (F32)
|
100% |
918
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
448
644.0 IPS |
|
|
Text Classification (I8)
|
96% |
608
874.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1247
22.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1684
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1265
23.3 IPS |
