Maxsun MS-iCraft B760M CROSS
Geekbench ML Score
3878
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | April 22 2025 06:19 PM |
| Views | 4 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 4.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2114
395.6 IPS |
|
|
Image Classification (F16)
|
100% |
2093
391.6 IPS |
|
|
Image Classification (I8)
|
99% |
3873
724.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1792
29.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1775
29.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2847
47.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6648
8.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
6604
8.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
22297
27.0 IPS |
|
|
Object Detection (F32)
|
100% |
1931
144.2 IPS |
|
|
Object Detection (F16)
|
100% |
2000
149.3 IPS |
|
|
Object Detection (I8)
|
62% |
1930
144.1 IPS |
|
|
Face Detection (F32)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (F16)
|
100% |
3580
42.6 IPS |
|
|
Face Detection (I8)
|
89% |
4003
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7906
61.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7994
62.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
14669
113.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17081
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
16762
22.0 IPS |
|
|
Style Transfer (I8)
|
98% |
20588
27.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3512
125.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3513
125.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5291
189.0 IPS |
|
|
Text Classification (F32)
|
100% |
1703
2.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1678
2.41 KIPS |
|
|
Text Classification (I8)
|
98% |
618
887.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2068
38.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2073
38.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3099
57.0 IPS |
