Micro-Star International Co., Ltd. MS-7B09
Geekbench AI Score
1348
Single Precision Score
647
Half Precision Score
1558
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 30 2025 12:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 2920X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B09 |
| Motherboard | Micro-Star International Co., Ltd. X399 GAMING PRO CARBON AC (MS-7B09) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1041
193.6 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
1353
252.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
1504
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2436
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2001
2.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
2954
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
58% |
960
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
2418
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (Q)
|
96% |
2981
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3023
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1006
7.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
3430
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5818
7.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5204
6.69 IPS |
|
|
Style Transfer (Q)
|
87% |
6318
8.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.6 IPS |
|
|
Text Classification (HP)
|
100% |
238
318.0 IPS |
|
|
Text Classification (Q)
|
97% |
227
303.7 IPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
68% |
944
18.2 IPS |
