iPad Pro 13-inch (M4)
Geekbench AI Score
4899
Single Precision Score
7994
Half Precision Score
6362
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:27 AM |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.8 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3265
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3477
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9886
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19292
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16598
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7546
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4349
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8469
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13969
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9803
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23659
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38632
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31676
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6022
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7247
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5049
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5754
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5778
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7874
136.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7855
135.7 IPS |
