iPad Pro 11-inch (M4)
Geekbench AI Score
4756
Single Precision Score
7877
Half Precision Score
6316
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.3 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3709
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10109
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19123
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16511
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7910
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4552
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14782
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10286
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25220
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38053
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31685
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6760
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4816
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5250
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6877
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6815
117.8 IPS |
