iPad Pro 13-inch (M4)
Geekbench AI Score
4750
Single Precision Score
7848
Half Precision Score
6325
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Exiledfathom |
| Upload Date | February 08 2025 10:42 PM |
| Views | 11 |
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, 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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3338
620.7 IPS |
|
|
Image Classification (Q)
|
96% |
2345
437.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3331
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3710
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19072
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16476
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (HP)
|
97% |
3739
297.7 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4029
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7843
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4535
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14744
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10299
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25041
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37938
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31612
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5845
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6839
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4822
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6704
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6736
116.4 IPS |
