iPad Pro 13-inch (M4)
Geekbench AI Score
4739
Single Precision Score
7862
Half Precision Score
6306
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | January 30 2025 09:17 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.8 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3279
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3649
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19099
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16483
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7808
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14677
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10179
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25189
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38250
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31563
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6909
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4873
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5445
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6853
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6943
120.0 IPS |
