iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4906
Single Precision Score
5657
Half Precision Score
5014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 02:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
1954
363.4 IPS |
|
|
Image Classification (Q)
|
97% |
1900
354.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3645
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3710
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16901
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18406
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17106
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (HP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (Q)
|
91% |
2229
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
6888
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
8420
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
5830
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12363
95.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13728
105.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11492
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28949
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33544
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32208
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6478
239.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7105
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5458
201.5 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3838
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
828
14.3 IPS |
