Maxsun MS-Terminator B760M D5
Geekbench ML Score
3203
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | June 23 2025 07:45 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Maxsun MS-Terminator B760M D5 |
| Motherboard | Maxsun MS-Terminator B760M D5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 20.0 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% |
1705
319.1 IPS |
|
|
Image Classification (F16)
|
100% |
1736
324.9 IPS |
|
|
Image Classification (I8)
|
99% |
3080
576.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1511
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1500
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2287
38.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5342
6.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
5177
6.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
18110
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1752
130.8 IPS |
|
|
Object Detection (F16)
|
100% |
1679
125.4 IPS |
|
|
Object Detection (I8)
|
62% |
1589
118.7 IPS |
|
|
Face Detection (F32)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (F16)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (I8)
|
89% |
4079
48.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5879
45.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5846
45.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
12269
95.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12958
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12455
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
20628
27.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2590
92.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2779
99.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4158
148.5 IPS |
|
|
Text Classification (F32)
|
100% |
1406
2.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1373
1.97 KIPS |
|
|
Text Classification (I8)
|
98% |
402
578.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1800
33.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1765
32.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2487
45.8 IPS |
