iPad Pro 11-inch (M4)
Geekbench AI Score
4943
Single Precision Score
7981
Half Precision Score
6352
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3234
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3614
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10092
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19535
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16671
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7780
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4443
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8650
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14605
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10209
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21961
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38353
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31598
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7254
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3495
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5668
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4381
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7216
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7184
124.1 IPS |
