iPad Pro 13-inch (M4)
Geekbench AI Score
4803
Single Precision Score
7905
Half Precision Score
6326
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 10:55 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 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.2 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3243
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3575
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19442
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16639
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.3 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7739
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4438
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14443
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10173
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21505
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38444
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31580
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5666
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6940
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6985
120.7 IPS |
