Micro-Star International Co., Ltd. MS-7B77
Geekbench ML Score
3377
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:42 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% |
1383
258.8 IPS |
|
|
Image Classification (F16)
|
100% |
1449
271.2 IPS |
|
|
Image Classification (I8)
|
97% |
3289
615.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1720
28.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1887
31.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
2221
37.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8214
9.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
7849
9.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
17460
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
1726
128.8 IPS |
|
|
Object Detection (F16)
|
100% |
1593
118.9 IPS |
|
|
Object Detection (I8)
|
60% |
1595
119.1 IPS |
|
|
Face Detection (F32)
|
100% |
2940
35.0 IPS |
|
|
Face Detection (F16)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (I8)
|
87% |
4168
49.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8007
62.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7940
61.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
13073
101.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18985
25.0 IPS |
|
|
Style Transfer (F16)
|
100% |
18392
24.2 IPS |
|
|
Style Transfer (I8)
|
85% |
19609
25.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2914
104.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2293
81.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3759
134.2 IPS |
|
|
Text Classification (F32)
|
100% |
1068
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1308
1.88 KIPS |
|
|
Text Classification (I8)
|
94% |
373
536.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2080
38.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1988
36.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2677
49.3 IPS |
