Apple Vision Pro (M2) iPad Pro (11-inch 3rd generation)
Geekbench AI Score
6046
Single Precision Score
6878
Half Precision Score
6051
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 16 2025 01:58 PM |
| Views | 4 |
| Notes | Apple Vision Pro (M2)/16GB RAM/256GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2648
492.4 IPS |
|
|
Image Classification (HP)
|
100% |
2651
493.1 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4577
74.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5210
84.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4183
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20038
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22618
26.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
22038
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2859
226.8 IPS |
|
|
Object Detection (HP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (Q)
|
92% |
2528
201.8 IPS |
|
|
Face Detection (SP)
|
100% |
7692
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
9467
112.5 IPS |
|
|
Face Detection (Q)
|
100% |
7960
94.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13609
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14497
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11367
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34451
44.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38303
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34885
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7717
285.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8216
303.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7062
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3836
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1529
26.4 IPS |
