iPad Pro 13-inch (M4)
Geekbench AI Score
4872
Single Precision Score
7982
Half Precision Score
6386
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 18 2025 03:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
3255
605.3 IPS |
|
|
Image Classification (Q)
|
96% |
2297
429.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3497
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9767
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19140
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16471
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4208
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7598
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4366
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8449
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13665
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9823
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24022
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39308
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32111
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7227
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5799
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4527
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8053
139.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7965
137.7 IPS |
