iPad Pro 11-inch (M4)
Geekbench AI Score
4727
Single Precision Score
7864
Half Precision Score
6324
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | visualvictor |
| Upload Date | March 25 2025 01:24 AM |
| Views | 13 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.6 IPS |
|
|
Image Classification (Q)
|
96% |
2354
439.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3642
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10087
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19110
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16485
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3846
306.2 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7736
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14680
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10186
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25114
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37890
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31463
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6881
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6886
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6862
118.6 IPS |
