iPad Pro 13-inch (M4)
Geekbench AI Score
4738
Single Precision Score
7868
Half Precision Score
6310
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:26 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.9 IPS |
|
|
Image Classification (Q)
|
96% |
2340
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3341
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3696
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19118
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16489
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7837
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14723
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10244
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25068
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38019
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31617
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6759
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4831
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6837
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6899
119.2 IPS |
