iPad Pro (11-inch 3rd generation)
Geekbench AI Score
1766
Single Precision Score
1936
Half Precision Score
1804
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 10:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
916
170.3 IPS |
|
|
Image Classification (HP)
|
100% |
989
183.9 IPS |
|
|
Image Classification (Q)
|
96% |
755
141.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1363
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6152
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6831
7.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
6847
8.02 IPS |
|
|
Object Detection (SP)
|
100% |
941
74.6 IPS |
|
|
Object Detection (HP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
92% |
779
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
2524
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4084
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3970
30.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3615
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10331
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11873
15.3 IPS |
|
|
Style Transfer (Q)
|
96% |
10011
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2139
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2244
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1947
71.9 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.0 IPS |
|
|
Text Classification (HP)
|
99% |
739
986.5 IPS |
|
|
Text Classification (Q)
|
93% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
98% |
461
7.97 IPS |
