Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
2034
Single Precision Score
2011
Half Precision Score
1982
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 06 2025 05:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 Six-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PLUS (MS-7B79) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1283
238.5 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (Q)
|
100% |
1217
226.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2556
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2585
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
2593
3.04 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
1284
101.8 IPS |
|
|
Object Detection (Q)
|
87% |
1270
101.8 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
4036
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3373
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3347
25.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
3259
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7388
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
7466
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
7543
9.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1583
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1605
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (Q)
|
91% |
467
627.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1880
32.4 IPS |
