Apple Vision Pro (M5) iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4865
Single Precision Score
7949
Half Precision Score
6394
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 14 2025 01:46 PM |
| Views | 9 |
| Notes | Apple Vision Pro (M5)/16GB RAM/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
3549
660.0 IPS |
|
|
Image Classification (Q)
|
96% |
2410
450.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2674
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2984
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10559
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19891
23.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17244
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2534
201.0 IPS |
|
|
Object Detection (HP)
|
97% |
3934
313.2 IPS |
|
|
Object Detection (Q)
|
94% |
2788
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
4260
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4516
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8706
67.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14228
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10122
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24637
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39119
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32554
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6762
249.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4761
175.8 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8392
145.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8389
145.0 IPS |
