iPad Pro 11-inch (M4)
Geekbench AI Score
4841
Single Precision Score
7925
Half Precision Score
6358
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 02:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2103
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.1 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10015
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19504
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16648
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7713
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14555
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10193
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21880
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38280
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31527
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7250
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5059
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5648
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4385
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7037
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7074
122.3 IPS |
