Micro-Star International Co., Ltd. MS-7B85
Geekbench AI Score
20335
Single Precision Score
22236
Half Precision Score
15527
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | xRoach |
| Upload Date | August 23 2025 05:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| 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% |
8752
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
7994
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
7486
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13484
218.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10507
170.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10945
178.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
117560
137.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
182238
212.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
98275
115.1 IPS |
|
|
Object Detection (SP)
|
100% |
9315
738.9 IPS |
|
|
Object Detection (HP)
|
100% |
8205
650.9 IPS |
|
|
Object Detection (Q)
|
87% |
7868
631.9 IPS |
|
|
Face Detection (SP)
|
100% |
26169
310.9 IPS |
|
|
Face Detection (HP)
|
100% |
28782
342.0 IPS |
|
|
Face Detection (Q)
|
97% |
20517
244.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
48762
375.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57595
443.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
36033
289.3 IPS |
|
|
Style Transfer (SP)
|
100% |
206787
265.8 IPS |
|
|
Style Transfer (HP)
|
100% |
263280
338.4 IPS |
|
|
Style Transfer (Q)
|
98% |
165834
213.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33192
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38385
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22737
841.9 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4507
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4749
81.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2622
49.2 IPS |
