iPad Pro 13-inch (M4)
Geekbench AI Score
4719
Single Precision Score
7859
Half Precision Score
6316
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | December 10 2024 11:40 AM |
| Views | 3 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1990
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3307
615.0 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3299
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3681
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19045
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16501
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4010
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7770
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4493
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14661
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10203
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25231
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38267
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31815
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5835
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4814
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6931
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6929
119.7 IPS |
