iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2711
Single Precision Score
6866
Half Precision Score
3244
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
6267
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5898
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9694
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
533
8.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68179
79.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5728
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7398
588.5 IPS |
|
|
Object Detection (Q)
|
91% |
6712
536.3 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16813
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
15393
182.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5734
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4110
31.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1822
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10431
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12483
16.0 IPS |
|
|
Style Transfer (Q)
|
96% |
7294
9.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3093
114.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2651
97.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1059
39.1 IPS |
|
|
Text Classification (SP)
|
100% |
1256
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
571
762.8 IPS |
|
|
Text Classification (Q)
|
93% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5821
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6085
105.2 IPS |
