iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5097
Single Precision Score
5898
Half Precision Score
5475
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 12:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (Q)
|
96% |
1887
352.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3998
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4218
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4046
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17004
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19007
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18065
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (Q)
|
92% |
2411
192.5 IPS |
|
|
Face Detection (SP)
|
100% |
6703
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
8362
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
7070
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12217
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13936
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12796
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28689
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35225
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34039
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6378
235.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7308
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6167
227.7 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3843
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
998
17.2 IPS |
