Micro-Star International Co., Ltd. MS-7B85
Geekbench AI Score
3117
Single Precision Score
1278
Half Precision Score
3685
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | xRoach |
| Upload Date | August 23 2025 05:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| 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% |
2682
498.7 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
96% |
3321
620.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
4482
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8335
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5671
6.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
8607
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (Q)
|
58% |
2480
270.9 IPS |
|
|
Face Detection (SP)
|
100% |
4776
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
96% |
6779
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7432
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1794
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7719
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16144
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13782
17.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13116
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1444
53.5 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
475
634.5 IPS |
|
|
Text Classification (Q)
|
97% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1931
37.3 IPS |
