iPad Pro 11-inch (M4)
Geekbench AI Score
4741
Single Precision Score
7865
Half Precision Score
6313
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | fug-mann |
| Upload Date | March 08 2025 09:06 AM |
| Views | 8 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.4 IPS |
|
|
Image Classification (Q)
|
96% |
2345
437.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3360
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3671
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19069
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16464
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7810
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
4484
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14653
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10220
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25106
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37997
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31461
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6794
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4909
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6847
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6801
117.5 IPS |
