Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3540
Single Precision Score
3548
Half Precision Score
5760
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 09 2025 03:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Balanced |
| 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% |
2148
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.6 IPS |
|
|
Image Classification (Q)
|
100% |
3578
665.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4085
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4490
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4472
5.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
9609
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
2055
163.0 IPS |
|
|
Object Detection (Q)
|
87% |
3890
312.0 IPS |
|
|
Face Detection (SP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (Q)
|
97% |
10581
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5677
43.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9963
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12960
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12993
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27134
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2641
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2634
97.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5641
208.9 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (Q)
|
91% |
1309
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3484
60.0 IPS |
