Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
11280
Single Precision Score
20276
Half Precision Score
7734
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | March 17 2026 04:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4659
866.4 IPS |
|
|
Image Classification (HP)
|
99% |
8626
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
3617
674.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6991
113.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11467
185.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5786
94.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
51599
60.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
161514
188.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
42545
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
5476
434.4 IPS |
|
|
Object Detection (HP)
|
100% |
10523
834.7 IPS |
|
|
Object Detection (Q)
|
84% |
4292
346.1 IPS |
|
|
Face Detection (SP)
|
100% |
12315
146.3 IPS |
|
|
Face Detection (HP)
|
100% |
20819
247.4 IPS |
|
|
Face Detection (Q)
|
97% |
9932
118.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26759
206.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54565
421.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
18406
147.6 IPS |
|
|
Style Transfer (SP)
|
100% |
88194
113.4 IPS |
|
|
Style Transfer (HP)
|
100% |
219429
282.1 IPS |
|
|
Style Transfer (Q)
|
98% |
68680
88.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16741
618.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28805
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9963
368.9 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1296
24.3 IPS |
