Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
10408
Single Precision Score
17974
Half Precision Score
7427
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4606
856.5 IPS |
|
|
Image Classification (HP)
|
99% |
8076
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
3746
698.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6081
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8785
142.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5051
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
49196
57.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151947
177.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
40822
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
5175
410.5 IPS |
|
|
Object Detection (HP)
|
100% |
9202
729.9 IPS |
|
|
Object Detection (Q)
|
84% |
4217
340.1 IPS |
|
|
Face Detection (SP)
|
100% |
11027
131.0 IPS |
|
|
Face Detection (HP)
|
100% |
17704
210.4 IPS |
|
|
Face Detection (Q)
|
97% |
9183
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26365
203.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52007
401.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
18563
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
84316
108.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206906
266.0 IPS |
|
|
Style Transfer (Q)
|
98% |
66321
85.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16434
606.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27649
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9793
362.6 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
99% |
2642
3.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1203
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1178
22.1 IPS |
