iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4894
Single Precision Score
5614
Half Precision Score
4213
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 05:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2212
411.4 IPS |
|
|
Image Classification (HP)
|
100% |
1854
344.7 IPS |
|
|
Image Classification (Q)
|
99% |
1926
359.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2650
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3604
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16800
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18395
21.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
16586
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2754
218.4 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (Q)
|
91% |
2176
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
6744
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
8437
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
5899
70.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12258
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13822
106.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
1923
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28562
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34490
44.3 IPS |
|
|
Style Transfer (Q)
|
100% |
35219
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6389
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7084
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5365
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3817
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
873
15.1 IPS |
