iPad Pro 11-inch (M4)
Geekbench AI Score
4726
Single Precision Score
7808
Half Precision Score
6254
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 01:40 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1983
368.8 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.4 IPS |
|
|
Image Classification (Q)
|
96% |
2345
437.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3616
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19072
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16466
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7760
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4447
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8329
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14720
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10182
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25055
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37896
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31300
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6824
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5146
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6831
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6864
118.6 IPS |
