iPad Pro 11-inch (M4)
Geekbench AI Score
4743
Single Precision Score
7862
Half Precision Score
6304
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 04:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.4 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3329
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19163
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16511
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.5 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7849
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4508
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8318
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14735
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10224
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25154
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38044
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31485
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6853
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4864
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5374
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5400
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6831
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6816
117.8 IPS |
