iPad Pro 11-inch (M4)
Geekbench AI Score
4596
Single Precision Score
7204
Half Precision Score
6107
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.6 IPS |
|
|
Image Classification (Q)
|
96% |
2293
428.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3488
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9795
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18987
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15038
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
97% |
3062
243.8 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
4075
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
7035
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
4000
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7788
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12694
98.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9624
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17639
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36774
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27760
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4941
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5799
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7543
130.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7337
126.8 IPS |
