iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
3449
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 05:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1496
279.9 IPS |
|
|
Image Classification (F16)
|
100% |
1884
352.5 IPS |
|
|
Image Classification (I8)
|
99% |
1909
357.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
792
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
791
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
788
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5896
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
13859
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13890
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1470
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
2006
149.8 IPS |
|
|
Object Detection (I8)
|
97% |
1465
109.4 IPS |
|
|
Face Detection (F32)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
4362
51.9 IPS |
|
|
Face Detection (I8)
|
97% |
4366
51.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5363
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8582
66.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8634
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16975
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26511
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26483
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3742
133.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4895
174.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4943
176.5 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
2944
4.23 KIPS |
|
|
Text Classification (I8)
|
96% |
2911
4.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1263
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1549
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1273
23.4 IPS |
