Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
11060
Single Precision Score
16827
Half Precision Score
8187
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 02:14 AM |
| Views | 2 |
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 | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4852
902.2 IPS |
|
|
Image Classification (HP)
|
99% |
6992
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
3876
722.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5563
90.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6917
112.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4864
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
67147
78.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
158299
184.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
56221
65.9 IPS |
|
|
Object Detection (SP)
|
100% |
5401
428.4 IPS |
|
|
Object Detection (HP)
|
100% |
8055
639.0 IPS |
|
|
Object Detection (Q)
|
84% |
4445
358.5 IPS |
|
|
Face Detection (SP)
|
100% |
11792
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
15930
189.3 IPS |
|
|
Face Detection (Q)
|
97% |
9978
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30382
234.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55601
429.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
21758
174.2 IPS |
|
|
Style Transfer (SP)
|
100% |
109456
140.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245011
315.0 IPS |
|
|
Style Transfer (Q)
|
98% |
89297
115.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18596
686.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28157
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12442
460.7 IPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
99% |
2612
3.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1005
18.8 IPS |
