iPad Pro 13-inch (M4)
Geekbench AI Score
5005
Single Precision Score
8016
Half Precision Score
6430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 07:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.8 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3558
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19475
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16636
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7728
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8512
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14074
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9938
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24221
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38739
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31837
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7114
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5743
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7960
137.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7959
137.5 IPS |
