iPad Pro 13-inch (M4)
Geekbench AI Score
4959
Single Precision Score
8032
Half Precision Score
6435
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2119
394.1 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.9 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3230
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3565
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19475
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16634
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7732
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4412
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8512
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14058
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9896
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24242
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38683
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31757
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6061
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7138
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5726
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8055
139.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8050
139.1 IPS |
