Apple Vision Pro (M5) iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4758
Single Precision Score
30516
Half Precision Score
40864
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 14 2025 01:51 PM |
| Views | 11 |
| Notes | Apple Vision Pro (M5)/16GB RAM/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
15283
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
21705
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17604
285.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23753
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9502
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
124422
145.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
217097
254.5 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
14300
1.13 KIPS |
|
|
Object Detection (Q)
|
91% |
21449
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
27291
324.3 IPS |
|
|
Face Detection (Q)
|
100% |
32661
388.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8554
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89104
686.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109458
855.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24523
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
183028
235.3 IPS |
|
|
Style Transfer (Q)
|
96% |
210405
271.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56725
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89073
3.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5304
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4833
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10926
188.2 IPS |
|
|
Machine Translation (Q)
|
98% |
15124
261.4 IPS |
