iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4830
Single Precision Score
5641
Half Precision Score
5018
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 06 2025 05:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1907
354.7 IPS |
|
|
Image Classification (HP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (Q)
|
97% |
1970
367.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2674
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16946
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18404
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16972
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (Q)
|
91% |
2188
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
8367
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
5780
68.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12240
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13601
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11197
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28449
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33543
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31930
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6392
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5442
200.9 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
884
15.3 IPS |
