iPad Pro (11-inch, 4th generation)
Geekbench ML Score
4943
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 15 2024 04:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3329
623.0 IPS |
|
|
Image Classification (F16)
|
100% |
3286
614.9 IPS |
|
|
Image Classification (I8)
|
99% |
2938
549.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1308
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1415
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22613
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
21481
26.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24464
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
2783
207.8 IPS |
|
|
Object Detection (F16)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (I8)
|
97% |
2415
180.3 IPS |
|
|
Face Detection (F32)
|
100% |
9332
111.0 IPS |
|
|
Face Detection (F16)
|
97% |
9883
117.5 IPS |
|
|
Face Detection (I8)
|
96% |
8841
105.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15981
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17351
134.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
13523
104.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40851
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46822
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46572
61.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7892
281.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10030
358.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6966
248.8 IPS |
|
|
Text Classification (F32)
|
100% |
1094
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
739
1.06 KIPS |
|
|
Text Classification (I8)
|
96% |
737
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
759
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
778
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
697
12.8 IPS |
