Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
18499
Single Precision Score
34986
Half Precision Score
35003
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:44 PM |
| Views | 4 |
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-7C95 |
| Motherboard | Micro-Star International Co., Ltd. PRO B550M-VC WIFI (MS-7C95) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9048
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
18041
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
17963
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15616
253.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22421
363.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23026
373.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
79900
93.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
322528
376.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
556197
651.2 IPS |
|
|
Object Detection (SP)
|
100% |
7785
617.5 IPS |
|
|
Object Detection (HP)
|
100% |
18143
1.44 KIPS |
|
|
Object Detection (Q)
|
88% |
14124
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
20454
243.0 IPS |
|
|
Face Detection (HP)
|
100% |
40727
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
42131
500.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
56152
432.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
115920
893.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
126580
984.3 IPS |
|
|
Style Transfer (SP)
|
100% |
168483
216.6 IPS |
|
|
Style Transfer (HP)
|
100% |
524180
673.8 IPS |
|
|
Style Transfer (Q)
|
98% |
563369
726.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29652
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51648
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44405
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2015
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3155
54.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3161
54.4 IPS |
