iPad Pro 13-inch (M4)
Geekbench AI Score
4913
Single Precision Score
8040
Half Precision Score
6405
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | GreatDane |
| Upload Date | November 11 2025 06:09 AM |
| Views | 13 |
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 | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2045
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.2 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3195
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3510
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9934
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19426
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16555
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4246
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7655
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4389
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8452
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14004
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9814
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24315
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38741
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31756
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5949
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5976
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4529
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7986
138.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8031
138.8 IPS |
