iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
5095
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 19 2024 07:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3420
640.0 IPS |
|
|
Image Classification (F16)
|
100% |
3345
626.0 IPS |
|
|
Image Classification (I8)
|
99% |
2990
559.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1445
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1533
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1509
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22591
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24963
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24363
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2794
208.6 IPS |
|
|
Object Detection (F16)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (I8)
|
97% |
2454
183.2 IPS |
|
|
Face Detection (F32)
|
100% |
9440
112.2 IPS |
|
|
Face Detection (F16)
|
97% |
10420
123.9 IPS |
|
|
Face Detection (I8)
|
96% |
9966
118.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15879
123.1 IPS |
|
|
Depth Estimation (F16)
|
97% |
17286
134.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
15640
121.3 IPS |
|
|
Style Transfer (F32)
|
100% |
39627
52.1 IPS |
|
|
Style Transfer (F16)
|
100% |
42877
56.4 IPS |
|
|
Style Transfer (I8)
|
100% |
46633
61.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9406
335.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7571
270.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7654
273.4 IPS |
|
|
Text Classification (F32)
|
100% |
1135
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
758
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
757
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
793
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
806
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
714
13.1 IPS |
