iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5355
Single Precision Score
6180
Half Precision Score
5689
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | March 08 2026 05:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2166
402.9 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.1 IPS |
|
|
Image Classification (Q)
|
94% |
1942
362.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4025
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4077
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16932
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18914
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18140
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (Q)
|
91% |
2532
202.4 IPS |
|
|
Face Detection (SP)
|
100% |
7066
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
8874
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
7983
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12306
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13678
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12875
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28998
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34865
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33940
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6316
233.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7137
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5841
215.7 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4120
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
