iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4865
Single Precision Score
5644
Half Precision Score
5024
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SyameimaruKoa |
| Upload Date | December 06 2024 05:04 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (Q)
|
97% |
1979
369.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3616
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3647
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16982
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18424
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16984
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2699
214.0 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
91% |
2188
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
6845
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
8501
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
5846
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12214
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13653
105.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11276
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29073
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33987
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32223
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6360
234.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7110
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5379
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3757
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
890
15.4 IPS |
