iPad Pro 11-inch (M4)
Geekbench AI Score
4750
Single Precision Score
7867
Half Precision Score
6298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 07:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2045
380.2 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.1 IPS |
|
|
Image Classification (Q)
|
96% |
2351
439.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3362
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3670
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10110
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19144
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16517
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2256
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2717
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7831
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
4526
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8358
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14815
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10238
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25159
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38078
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31628
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6835
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4819
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5256
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5216
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6894
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6887
119.0 IPS |
