Micro-Star International Co., Ltd. MS-7B87
Geekbench AI Score
18795
Single Precision Score
35609
Half Precision Score
35075
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | samusko14 |
| Upload Date | June 29 2025 11:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| 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% |
9415
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
18776
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
17791
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15573
252.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22642
367.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23051
373.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
80430
93.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
326219
380.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
562138
658.1 IPS |
|
|
Object Detection (SP)
|
100% |
7951
630.6 IPS |
|
|
Object Detection (HP)
|
100% |
19791
1.57 KIPS |
|
|
Object Detection (Q)
|
88% |
14492
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
20664
245.5 IPS |
|
|
Face Detection (HP)
|
100% |
40735
484.0 IPS |
|
|
Face Detection (Q)
|
100% |
42130
500.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
58190
448.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
121828
938.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
128476
999.1 IPS |
|
|
Style Transfer (SP)
|
100% |
170286
218.9 IPS |
|
|
Style Transfer (HP)
|
100% |
527503
678.1 IPS |
|
|
Style Transfer (Q)
|
98% |
568895
733.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31479
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52913
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44811
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1940
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3152
54.3 IPS |
