iPad Pro 13-inch (M4)
Geekbench AI Score
4717
Single Precision Score
7898
Half Precision Score
6294
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 06:27 AM |
| Views | 1 |
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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3290
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3634
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10093
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19127
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16480
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7800
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4465
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14686
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10188
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25184
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38277
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31473
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6886
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4855
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6941
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6914
119.5 IPS |
