Micro-Star International Co., Ltd. MS-7D54
Geekbench ML Score
2825
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 14 2026 02:58 PM |
| Views | 10 |
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% |
1544
289.0 IPS |
|
|
Image Classification (F16)
|
100% |
1497
280.1 IPS |
|
|
Image Classification (I8)
|
97% |
2983
558.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1448
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1374
22.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
2344
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5375
6.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
5153
6.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
10770
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1856
138.6 IPS |
|
|
Object Detection (F16)
|
100% |
1780
132.9 IPS |
|
|
Object Detection (I8)
|
60% |
1887
140.9 IPS |
|
|
Face Detection (F32)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (F16)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (I8)
|
87% |
3771
44.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5092
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6173
47.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
8880
68.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9247
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
9251
12.2 IPS |
|
|
Style Transfer (I8)
|
85% |
13225
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1856
66.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1830
65.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2926
104.5 IPS |
|
|
Text Classification (F32)
|
100% |
1268
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1287
1.85 KIPS |
|
|
Text Classification (I8)
|
94% |
958
1.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1522
28.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1618
29.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2449
45.1 IPS |
