iPad Pro 13-inch (M4)
Geekbench AI Score
4912
Single Precision Score
7911
Half Precision Score
6294
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 01 2026 08:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9924
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19346
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16526
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4201
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7644
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14057
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9870
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23820
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38468
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31603
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5918
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7058
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4925
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5750
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4387
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7686
132.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7298
126.1 IPS |
