Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
14015
Single Precision Score
24049
Half Precision Score
9864
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 16 2025 12:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR MAX WIFI (MS-7C94) |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6133
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
9874
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
4685
873.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8152
132.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13491
218.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7464
121.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
70185
81.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
189551
221.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58394
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
7428
589.2 IPS |
|
|
Object Detection (HP)
|
100% |
13158
1.04 KIPS |
|
|
Object Detection (Q)
|
84% |
5843
471.3 IPS |
|
|
Face Detection (SP)
|
100% |
16791
199.5 IPS |
|
|
Face Detection (HP)
|
100% |
26794
318.4 IPS |
|
|
Face Detection (Q)
|
97% |
13585
162.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35543
273.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
68000
525.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
24704
197.8 IPS |
|
|
Style Transfer (SP)
|
100% |
118270
152.0 IPS |
|
|
Style Transfer (HP)
|
100% |
303515
390.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95302
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21635
798.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36257
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13782
510.3 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2896
3.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1366
25.6 IPS |
