Micro-Star International Co., Ltd. MS-7B77
Geekbench ML Score
3420
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B77 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING M7 AC (MS-7B77) |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1471
275.2 IPS |
|
|
Image Classification (F16)
|
100% |
1420
265.7 IPS |
|
|
Image Classification (I8)
|
97% |
3387
633.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1926
32.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1954
32.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
2302
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8427
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9299
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
17469
21.2 IPS |
|
|
Object Detection (F32)
|
100% |
1755
131.0 IPS |
|
|
Object Detection (F16)
|
100% |
1278
95.4 IPS |
|
|
Object Detection (I8)
|
60% |
1582
118.1 IPS |
|
|
Face Detection (F32)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (F16)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (I8)
|
87% |
4139
49.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7515
58.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7053
54.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
12366
95.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18578
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
17961
23.6 IPS |
|
|
Style Transfer (I8)
|
85% |
18909
24.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2888
103.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2963
105.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3716
132.7 IPS |
|
|
Text Classification (F32)
|
100% |
1326
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1324
1.90 KIPS |
|
|
Text Classification (I8)
|
94% |
338
486.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2100
38.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2138
39.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2717
50.0 IPS |
