Micro-Star International Co., Ltd. MS-7D54
Geekbench ML Score
2849
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 06 2025 11:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 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% |
2138
400.0 IPS |
|
|
Image Classification (F16)
|
100% |
2070
387.4 IPS |
|
|
Image Classification (I8)
|
97% |
3562
666.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1293
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1277
21.3 IPS |
|
|
Image Segmentation (I8)
|
97% |
2399
40.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3736
4.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
3644
4.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
10470
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
1280
95.6 IPS |
|
|
Object Detection (F16)
|
100% |
1336
99.8 IPS |
|
|
Object Detection (I8)
|
60% |
1458
108.8 IPS |
|
|
Face Detection (F32)
|
100% |
2376
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (I8)
|
87% |
3946
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4621
35.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5508
42.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
10875
84.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9615
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
9787
12.9 IPS |
|
|
Style Transfer (I8)
|
85% |
13752
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1929
68.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1924
68.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2916
104.1 IPS |
|
|
Text Classification (F32)
|
100% |
1294
1.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1222
1.76 KIPS |
|
|
Text Classification (I8)
|
94% |
950
1.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
2345
43.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2343
43.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2872
52.9 IPS |
