iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4843
Single Precision Score
5625
Half Precision Score
4968
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:04 PM |
| Views | 1 |
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 | iPad13,4 |
| 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% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (Q)
|
97% |
1831
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3651
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16745
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18428
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16881
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (Q)
|
91% |
2174
173.7 IPS |
|
|
Face Detection (SP)
|
100% |
6793
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8439
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
5893
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12229
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13694
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11400
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28381
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33985
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31918
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6391
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5353
197.7 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
837
14.5 IPS |
