Apple Vision Pro (M5) iPad Pro (11-inch 3rd generation)
Geekbench AI Score
7200
Single Precision Score
10627
Half Precision Score
10597
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | December 13 2025 02:39 PM |
| Views | 12 |
| Notes | visionOS 26.2、Apple Vision Pro (M5)/16GB RAM/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
2391
444.6 IPS |
|
|
Image Classification (Q)
|
97% |
1974
368.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7528
122.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6250
101.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9505
154.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
26090
30.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
60956
71.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
76754
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
4399
348.9 IPS |
|
|
Object Detection (Q)
|
93% |
3667
292.5 IPS |
|
|
Face Detection (SP)
|
100% |
9905
117.7 IPS |
|
|
Face Detection (HP)
|
100% |
12905
153.3 IPS |
|
|
Face Detection (Q)
|
100% |
10026
119.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20120
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20606
158.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20015
156.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55536
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
116009
149.1 IPS |
|
|
Style Transfer (Q)
|
96% |
117061
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12276
453.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11338
418.6 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5804
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5742
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2087
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2213
38.2 IPS |
