iPad Pro 11-inch (M4)
Geekbench AI Score
4731
Single Precision Score
7865
Half Precision Score
6327
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pressure_P |
| Upload Date | January 03 2025 05:46 PM |
| Views | 2 |
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% |
2037
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3338
620.7 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3356
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3707
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16458
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2730
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7861
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
4550
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14728
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10263
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25098
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37898
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31559
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6735
248.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4793
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6794
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6816
117.8 IPS |
