iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5170
Single Precision Score
5988
Half Precision Score
5589
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | December 17 2025 09:14 PM |
| Views | 7 |
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% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (Q)
|
96% |
2133
398.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3987
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4266
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4088
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16845
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18904
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18080
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2447
195.3 IPS |
|
|
Face Detection (SP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8444
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
7089
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12393
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13963
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12683
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28823
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35306
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34042
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6306
232.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5923
218.7 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4189
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4203
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1012
17.5 IPS |
