iPad Pro (11-inch 3rd generation)
Geekbench AI Score
1931
Single Precision Score
2091
Half Precision Score
1517
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 16 2024 08:08 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
958
178.2 IPS |
|
|
Image Classification (HP)
|
100% |
975
181.3 IPS |
|
|
Image Classification (Q)
|
99% |
944
176.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.51 IPS |
|
|
Image Segmentation (Q)
|
100% |
613
9.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
11107
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
5700
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
1048
83.2 IPS |
|
|
Object Detection (HP)
|
98% |
1125
89.5 IPS |
|
|
Object Detection (Q)
|
94% |
511
40.7 IPS |
|
|
Face Detection (SP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (Q)
|
100% |
643
7.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
3489
26.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3931
30.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3929
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10054
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12457
16.0 IPS |
|
|
Style Transfer (Q)
|
100% |
12423
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2438
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.8 IPS |
|
|
Text Classification (Q)
|
93% |
626
840.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1851
32.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1847
31.9 IPS |
