Micro-Star International Co., Ltd. MS-7B85
Geekbench AI Score
4561
Single Precision Score
4608
Half Precision Score
5029
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | xRoach |
| Upload Date | August 23 2025 05:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B85 |
| Motherboard | Micro-Star International Co., Ltd. B450 GAMING PRO CARBON AC (MS-7B85) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2838
527.9 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.1 IPS |
|
|
Image Classification (Q)
|
100% |
3472
645.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5165
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9076
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8934
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
10031
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2903
230.3 IPS |
|
|
Object Detection (HP)
|
100% |
2890
229.3 IPS |
|
|
Object Detection (Q)
|
87% |
3941
316.1 IPS |
|
|
Face Detection (SP)
|
100% |
6700
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
6602
78.4 IPS |
|
|
Face Detection (Q)
|
97% |
12809
152.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7836
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7968
61.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
10412
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25042
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25038
32.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28673
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5495
203.5 IPS |
|
|
Text Classification (SP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (Q)
|
91% |
318
426.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2365
40.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2186
37.6 IPS |
