Maxsun MS-iCraft B760M CROSS
Geekbench AI Score
4269
Single Precision Score
1663
Half Precision Score
6094
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | April 22 2025 06:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| 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% |
3358
624.5 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.4 IPS |
|
|
Image Classification (Q)
|
99% |
6669
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3182
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7428
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4578
5.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
25302
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3122
247.6 IPS |
|
|
Object Detection (HP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (Q)
|
86% |
5832
468.7 IPS |
|
|
Face Detection (SP)
|
100% |
7916
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
9473
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9500
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2210
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16165
129.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17492
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11381
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21559
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3230
119.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4858
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
482
645.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2921
58.7 IPS |
