iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6920
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 01:07 PM |
| Views | 1 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2321
434.4 IPS |
|
|
Image Classification (F16)
|
100% |
5706
1.07 KIPS |
|
|
Image Classification (I8)
|
99% |
5801
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
711
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3620
60.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
3885
64.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16044
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
63247
76.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
63338
76.7 IPS |
|
|
Object Detection (F32)
|
100% |
1610
120.2 IPS |
|
|
Object Detection (F16)
|
100% |
3884
290.0 IPS |
|
|
Object Detection (I8)
|
97% |
1479
110.4 IPS |
|
|
Face Detection (F32)
|
100% |
6086
72.4 IPS |
|
|
Face Detection (F16)
|
97% |
11643
138.4 IPS |
|
|
Face Detection (I8)
|
96% |
11583
137.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12625
97.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
43504
337.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
43847
340.0 IPS |
|
|
Style Transfer (F32)
|
100% |
28793
37.9 IPS |
|
|
Style Transfer (F16)
|
100% |
112974
148.6 IPS |
|
|
Style Transfer (I8)
|
100% |
117322
154.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5069
181.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17400
621.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17419
622.1 IPS |
|
|
Text Classification (F32)
|
100% |
1184
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1117
1.61 KIPS |
|
|
Text Classification (I8)
|
96% |
3440
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
561
10.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1964
36.1 IPS |
|
|
Machine Translation (I8)
|
99% |
604
11.1 IPS |
