iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5113
Single Precision Score
5905
Half Precision Score
5589
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 11:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
2000
371.8 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4006
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4067
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16972
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18873
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18115
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
2709
214.9 IPS |
|
|
Object Detection (Q)
|
92% |
2470
197.1 IPS |
|
|
Face Detection (SP)
|
100% |
6753
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8360
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
7047
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12213
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13955
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12860
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28677
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34534
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33722
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6399
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7372
272.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6275
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
