Micro-Star International Co., Ltd. MS-7B85
Geekbench ML Score
2452
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:17 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B85 |
| Motherboard | Micro-Star International Co., Ltd. B450 GAMING PRO CARBON AC (MS-7B85) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1427
267.1 IPS |
|
|
Image Classification (F16)
|
100% |
1349
252.4 IPS |
|
|
Image Classification (I8)
|
97% |
2422
453.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1289
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1319
22.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1544
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4241
5.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
4230
5.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
8702
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1312
98.0 IPS |
|
|
Object Detection (F16)
|
100% |
1369
102.2 IPS |
|
|
Object Detection (I8)
|
60% |
1483
110.7 IPS |
|
|
Face Detection (F32)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (F16)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (I8)
|
87% |
2980
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4440
34.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4920
38.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
7600
58.9 IPS |
|
|
Style Transfer (F32)
|
100% |
10112
13.3 IPS |
|
|
Style Transfer (F16)
|
100% |
10353
13.6 IPS |
|
|
Style Transfer (I8)
|
85% |
12195
16.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2216
79.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1858
66.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2509
89.6 IPS |
|
|
Text Classification (F32)
|
100% |
1637
2.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1610
2.31 KIPS |
|
|
Text Classification (I8)
|
94% |
337
484.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1602
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1623
29.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1826
33.6 IPS |
