iPad Pro 13-inch (M4)
Geekbench AI Score
4988
Single Precision Score
8058
Half Precision Score
6446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | urogomphi |
| Upload Date | December 21 2025 09:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2120
394.3 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.2 IPS |
|
|
Image Classification (Q)
|
96% |
2352
439.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3574
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19486
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16705
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
97% |
3770
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7801
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4504
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14171
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9990
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24483
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38895
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32009
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7219
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4940
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5706
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4593
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8150
140.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7997
138.2 IPS |
