iPad Pro 13-inch (M4)
Geekbench AI Score
4726
Single Precision Score
7824
Half Precision Score
6289
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Ekatak |
| Upload Date | March 06 2025 11:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2022
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
3331
619.4 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3273
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3693
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19092
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16473
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
97% |
3780
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7764
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4494
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14712
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10227
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25157
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38307
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31676
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6847
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4834
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5227
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5154
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6978
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6938
119.9 IPS |
