iPad Pro 11-inch (M4)
Geekbench AI Score
4832
Single Precision Score
7923
Half Precision Score
6357
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 05 2025 06:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.2 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3268
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3603
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19468
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4277
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7699
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4416
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8602
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14533
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10177
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21571
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38194
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31542
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7235
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5059
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4427
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7055
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7074
122.2 IPS |
