iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4901
Single Precision Score
5636
Half Precision Score
5067
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | October 26 2024 02:20 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (Q)
|
97% |
1917
357.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3652
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17013
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18290
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17574
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2836
225.0 IPS |
|
|
Object Detection (HP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (Q)
|
91% |
2200
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
6775
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8505
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
5801
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12167
93.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13717
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11441
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28708
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33961
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32698
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6408
236.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5453
201.4 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
884
15.3 IPS |
