iPad Pro 13-inch (M4)
Geekbench AI Score
4727
Single Precision Score
7891
Half Precision Score
6330
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | CaballoNegro |
| Upload Date | February 07 2025 08:24 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.9 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3358
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3698
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19126
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16500
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4016
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7836
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4503
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14733
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10210
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25303
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38350
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31775
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6752
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5538
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6940
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6937
119.9 IPS |
