iPad Pro 13-inch (M4)
Geekbench AI Score
4823
Single Precision Score
7904
Half Precision Score
6304
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | April 06 2025 05:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3313
616.0 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3259
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9962
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19408
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16603
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7650
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4420
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14515
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10160
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21738
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38130
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31437
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7221
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5051
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5397
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6955
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6989
120.8 IPS |
