iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
3474
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 02:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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% |
1470
275.0 IPS |
|
|
Image Classification (F16)
|
100% |
1872
350.3 IPS |
|
|
Image Classification (I8)
|
99% |
1844
345.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
791
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
792
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5905
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
14010
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13944
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1471
109.8 IPS |
|
|
Object Detection (F16)
|
100% |
1986
148.3 IPS |
|
|
Object Detection (I8)
|
97% |
1461
109.1 IPS |
|
|
Face Detection (F32)
|
100% |
2831
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
4358
51.8 IPS |
|
|
Face Detection (I8)
|
97% |
4364
51.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5355
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8568
66.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8588
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16998
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26387
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26440
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3827
136.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4940
176.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4998
178.5 IPS |
|
|
Text Classification (F32)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3249
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3259
4.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1275
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1544
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1300
23.9 IPS |
