Maxsun MS-iCraft B760M CROSS
Geekbench AI Score
22017
Single Precision Score
38772
Half Precision Score
17282
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | April 22 2025 06:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Maxsun MS-iCraft B760M CROSS |
| Motherboard | Maxsun MS-iCraft B760M CROSS |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10058
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
17890
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9279
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14191
230.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19083
309.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13113
213.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
125158
146.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
384768
449.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
118114
138.4 IPS |
|
|
Object Detection (SP)
|
100% |
11665
925.3 IPS |
|
|
Object Detection (HP)
|
100% |
20324
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
10101
816.1 IPS |
|
|
Face Detection (SP)
|
100% |
27331
324.7 IPS |
|
|
Face Detection (HP)
|
100% |
41021
487.4 IPS |
|
|
Face Detection (Q)
|
97% |
24101
287.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
56783
437.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
116050
894.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
43754
349.2 IPS |
|
|
Style Transfer (SP)
|
100% |
173177
222.6 IPS |
|
|
Style Transfer (HP)
|
100% |
548906
705.6 IPS |
|
|
Style Transfer (Q)
|
98% |
152131
196.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33421
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58277
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24930
923.1 IPS |
|
|
Text Classification (SP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2250
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4120
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1820
34.1 IPS |
