Micro-Star International Co., Ltd. MS-7B84
Geekbench AI Score
2956
Single Precision Score
3899
Half Precision Score
2223
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | July 26 2025 01:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B84 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-M2 MAX (MS-7B84) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1187
220.8 IPS |
|
|
Image Classification (HP)
|
100% |
1436
267.0 IPS |
|
|
Image Classification (Q)
|
100% |
1082
201.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1142
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10889
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19373
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
9136
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (Q)
|
88% |
1170
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (Q)
|
97% |
2407
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6238
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9164
70.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4984
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18570
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31441
40.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14845
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4001
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2777
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
621
832.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (Q)
|
70% |
728
13.6 IPS |
