Apple Vision Pro (M2) iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3101
Single Precision Score
5688
Half Precision Score
4653
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 15 2025 05:33 AM |
| Views | 11 |
| Notes | Apple Vision Pro (M2)/16GB RAM/256GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1126
209.4 IPS |
|
|
Image Classification (HP)
|
100% |
2344
436.0 IPS |
|
|
Image Classification (Q)
|
96% |
1660
309.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2547
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6072
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
12739
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11187
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2667
212.3 IPS |
|
|
Object Detection (Q)
|
94% |
1953
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3276
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5137
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10548
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7485
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17010
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27872
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23459
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3758
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6789
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6550
113.2 IPS |
