iPad Pro 11-inch (M4)
Geekbench AI Score
4796
Single Precision Score
7863
Half Precision Score
6348
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 15 2025 05:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.4 IPS |
|
|
Image Classification (Q)
|
96% |
2355
439.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3705
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10080
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19085
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16531
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2734
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7936
94.3 IPS |
|
|
Face Detection (Q)
|
100% |
4570
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14749
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10280
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25289
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38337
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31837
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6837
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4799
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7019
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
