Vision pro M2 iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2961
Single Precision Score
5586
Half Precision Score
4604
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | billpugh |
| Upload Date | October 28 2025 10:50 PM |
| Views | 14 |
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, 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% |
1170
217.5 IPS |
|
|
Image Classification (HP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (Q)
|
96% |
1647
307.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2576
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5790
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14334
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12371
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.9 IPS |
|
|
Object Detection (HP)
|
97% |
2625
208.9 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5217
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3144
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4854
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10170
78.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7259
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15935
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26910
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22581
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3509
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3545
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3791
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5945
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6128
105.9 IPS |
