Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
1806
Single Precision Score
1799
Half Precision Score
1905
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sam_86314 |
| Upload Date | February 01 2026 03:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 2600X Six-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO (MS-7B79) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1129
210.0 IPS |
|
|
Image Classification (HP)
|
100% |
1138
211.7 IPS |
|
|
Image Classification (Q)
|
100% |
1168
217.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1617
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2343
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
2570
3.01 IPS |
|
|
Object Detection (SP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
87% |
1200
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
3748
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3031
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2994
23.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
3173
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6642
8.54 IPS |
|
|
Style Transfer (HP)
|
100% |
6642
8.54 IPS |
|
|
Style Transfer (Q)
|
98% |
7454
9.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1380
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1577
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
1236
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (Q)
|
91% |
442
594.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1756
30.2 IPS |
