iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4894
Single Precision Score
5665
Half Precision Score
4225
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Wwessex |
| Upload Date | August 15 2024 09:02 PM |
| Views | 6 |
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 | iPad13,8 |
| 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% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (Q)
|
99% |
1892
353.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3671
59.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3594
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16775
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18403
21.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
16240
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2761
219.0 IPS |
|
|
Object Detection (HP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (Q)
|
91% |
2156
172.3 IPS |
|
|
Face Detection (SP)
|
100% |
6781
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8429
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
5854
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12356
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13730
105.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
1922
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28247
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34103
43.8 IPS |
|
|
Style Transfer (Q)
|
100% |
35214
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6391
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7199
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5257
194.7 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
933
16.1 IPS |
