Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
13530
Single Precision Score
15574
Half Precision Score
10692
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | arifian0 |
| Upload Date | January 10 2026 03:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO (MS-7B86) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6025
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
5712
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
5269
979.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8459
137.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6701
108.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7222
117.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
77963
91.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
119668
139.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
64593
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
4693
372.2 IPS |
|
|
Object Detection (HP)
|
100% |
6471
513.3 IPS |
|
|
Object Detection (Q)
|
87% |
4624
371.4 IPS |
|
|
Face Detection (SP)
|
100% |
16349
194.3 IPS |
|
|
Face Detection (HP)
|
100% |
19592
232.8 IPS |
|
|
Face Detection (Q)
|
97% |
13737
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33719
259.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40629
313.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
26217
210.6 IPS |
|
|
Style Transfer (SP)
|
100% |
141156
181.5 IPS |
|
|
Style Transfer (HP)
|
100% |
180197
231.6 IPS |
|
|
Style Transfer (Q)
|
98% |
116546
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23085
852.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27595
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16804
622.2 IPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1439
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1694
31.8 IPS |
