iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5086
Single Precision Score
5873
Half Precision Score
5406
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 09:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
2025
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (Q)
|
96% |
1795
335.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4033
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4269
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4088
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16857
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18821
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18141
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2634
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (Q)
|
92% |
2374
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
6809
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8542
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
7032
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12182
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13797
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12603
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28647
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34637
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34163
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6266
231.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5835
215.5 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3861
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
990
17.1 IPS |
