iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4869
Single Precision Score
5702
Half Precision Score
4980
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:44 AM |
| 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
2146
399.2 IPS |
|
|
Image Classification (Q)
|
97% |
1830
341.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3627
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16936
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18443
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16673
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2735
216.9 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.2 IPS |
|
|
Object Detection (Q)
|
91% |
2140
171.0 IPS |
|
|
Face Detection (SP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8383
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
5853
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12209
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13703
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10857
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28269
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34581
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32357
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6338
234.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5513
203.6 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3769
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
923
16.0 IPS |
