iPad Pro 11-inch (M4)
Geekbench AI Score
4812
Single Precision Score
7916
Half Precision Score
6300
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | albertoyan |
| Upload Date | May 04 2025 04:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2059
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.1 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3214
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10036
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19492
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16638
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.8 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7639
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4374
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14504
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10125
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21587
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38023
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31355
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7261
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5065
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7067
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7125
123.1 IPS |
