iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3078
Single Precision Score
5405
Half Precision Score
4421
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 04:13 PM |
| Views | 4 |
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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (Q)
|
96% |
1531
286.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2490
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6010
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14105
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12110
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (HP)
|
97% |
2354
187.4 IPS |
|
|
Object Detection (Q)
|
94% |
1751
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5397
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3146
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5437
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10297
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7298
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16477
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26219
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21810
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3541
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4369
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4177
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4780
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4773
82.5 IPS |
