iPad Pro 11-inch (M4)
Geekbench AI Score
9726
Single Precision Score
11350
Half Precision Score
10314
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ghostiman |
| Upload Date | July 30 2025 01:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4456
828.6 IPS |
|
|
Image Classification (HP)
|
100% |
4797
892.1 IPS |
|
|
Image Classification (Q)
|
96% |
4514
843.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7146
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7912
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7598
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27709
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29747
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29443
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4561
361.8 IPS |
|
|
Object Detection (HP)
|
100% |
5146
408.2 IPS |
|
|
Object Detection (Q)
|
92% |
4748
379.0 IPS |
|
|
Face Detection (SP)
|
100% |
12777
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16643
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
13416
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20387
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21952
169.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20273
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57284
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
65991
84.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64190
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11762
434.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11479
423.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10300
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2810
48.6 IPS |
