iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4830
Single Precision Score
5679
Half Precision Score
4984
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:13 PM |
| Views | 2 |
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% |
1915
356.1 IPS |
|
|
Image Classification (HP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (Q)
|
97% |
1862
347.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3619
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3650
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16898
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18488
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16742
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (Q)
|
91% |
2135
170.6 IPS |
|
|
Face Detection (SP)
|
100% |
6752
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8351
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
5838
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12225
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13674
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10723
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28791
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34859
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32067
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6392
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5461
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
