Micro-Star International Co., Ltd. MS-7B87
Geekbench AI Score
19194
Single Precision Score
29426
Half Precision Score
13185
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | samusko14 |
| Upload Date | June 29 2025 11:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B87 |
| Motherboard | Micro-Star International Co., Ltd. B450M GAMING PLUS (MS-7B87) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8992
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
11119
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7183
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12488
202.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14727
238.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9946
161.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
76844
89.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
310953
362.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
63280
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
11360
901.1 IPS |
|
|
Object Detection (HP)
|
100% |
14068
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
8931
716.8 IPS |
|
|
Face Detection (SP)
|
100% |
25021
297.3 IPS |
|
|
Face Detection (HP)
|
100% |
32203
382.6 IPS |
|
|
Face Detection (Q)
|
97% |
18132
216.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
61151
471.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93400
719.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35318
283.1 IPS |
|
|
Style Transfer (SP)
|
100% |
189437
243.5 IPS |
|
|
Style Transfer (HP)
|
100% |
496413
638.1 IPS |
|
|
Style Transfer (Q)
|
98% |
128079
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28698
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48635
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15714
581.9 IPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1695
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1801
33.8 IPS |
