iPad Pro 13-inch (M4)
Geekbench AI Score
4912
Single Precision Score
7997
Half Precision Score
6424
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | stevemops |
| Upload Date | October 17 2025 04:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2112
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
3327
618.7 IPS |
|
|
Image Classification (Q)
|
96% |
2355
439.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19478
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16648
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7650
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14079
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9948
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24018
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38757
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31923
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7219
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5731
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5694
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4560
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7988
138.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7996
138.2 IPS |
