iPad Pro 11-inch (M4)
Geekbench AI Score
9669
Single Precision Score
11182
Half Precision Score
9989
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 03:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4444
826.5 IPS |
|
|
Image Classification (HP)
|
100% |
4830
898.3 IPS |
|
|
Image Classification (Q)
|
96% |
4508
841.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7179
116.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7939
128.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7609
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28248
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29762
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29476
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4588
363.9 IPS |
|
|
Object Detection (HP)
|
100% |
5188
411.5 IPS |
|
|
Object Detection (Q)
|
92% |
4770
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
12724
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16586
197.1 IPS |
|
|
Face Detection (Q)
|
100% |
13394
159.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20685
159.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21938
169.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20287
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55959
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66743
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64766
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11932
440.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11581
427.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10327
381.3 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5332
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2192
37.9 IPS |
