iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5107
Single Precision Score
5871
Half Precision Score
5551
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | December 03 2025 12:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1926
358.1 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.2 IPS |
|
|
Image Classification (Q)
|
96% |
1941
362.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3988
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4218
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4073
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17017
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18906
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18242
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (Q)
|
92% |
2453
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
6813
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
8413
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7099
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12415
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14129
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13019
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28762
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34186
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34220
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6324
233.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7338
271.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6132
226.4 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.8 IPS |
