iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5103
Single Precision Score
5874
Half Precision Score
5509
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | September 25 2025 05:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.2 IPS |
|
|
Image Classification (Q)
|
96% |
1977
369.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3986
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4036
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16965
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18790
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18073
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (Q)
|
92% |
2421
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8337
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
7033
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12195
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13896
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
12812
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29046
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35272
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33721
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6336
234.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7288
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6149
227.1 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
