iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4838
Single Precision Score
5693
Half Precision Score
5021
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1895
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (Q)
|
97% |
1969
367.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2702
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3618
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3643
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16939
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18474
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16784
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2720
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
91% |
2147
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
6749
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8360
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
5864
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12255
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13663
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10676
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28474
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34718
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32128
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6427
237.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5445
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
917
15.9 IPS |
