iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4844
Single Precision Score
5808
Half Precision Score
5128
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | November 06 2024 02:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2412
448.6 IPS |
|
|
Image Classification (HP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (Q)
|
97% |
2135
398.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3637
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3713
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17141
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18867
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17623
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2744
217.6 IPS |
|
|
Object Detection (HP)
|
100% |
2778
220.4 IPS |
|
|
Object Detection (Q)
|
91% |
2245
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8477
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
5935
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12319
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13939
107.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11651
91.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29346
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35234
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32899
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6422
237.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7267
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5349
197.5 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3982
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
840
14.5 IPS |
