iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2148
Single Precision Score
12285
Half Precision Score
10061
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | cuber |
| Upload Date | September 08 2024 07:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1089
202.5 IPS |
|
|
Image Classification (HP)
|
100% |
6269
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5752
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4211
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
518
8.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
5749
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
65135
76.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65145
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1187
94.1 IPS |
|
|
Object Detection (HP)
|
99% |
7062
561.8 IPS |
|
|
Object Detection (Q)
|
93% |
6477
516.8 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
12525
148.8 IPS |
|
|
Face Detection (Q)
|
100% |
12708
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3846
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43367
334.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
50990
398.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10365
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
116828
150.2 IPS |
|
|
Style Transfer (Q)
|
96% |
111165
143.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17819
658.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20605
760.9 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2511
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2269
39.2 IPS |
