iPad Pro 11-inch (M4)
Geekbench AI Score
4727
Single Precision Score
7892
Half Precision Score
6311
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pressure_P |
| Upload Date | January 03 2025 04:33 PM |
| Views | 3 |
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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
3316
616.7 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3347
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3684
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19067
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16466
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7752
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4481
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14720
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10236
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25128
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37908
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31398
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6867
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5571
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7043
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6832
118.1 IPS |
