Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
14087
Single Precision Score
24168
Half Precision Score
9450
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | August 18 2024 01:41 PM |
| Views | 7 |
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% |
5921
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
9419
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
4253
791.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9829
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15234
247.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7984
129.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
69670
81.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
193120
225.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
58315
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
7038
558.3 IPS |
|
|
Object Detection (HP)
|
100% |
12620
1.00 KIPS |
|
|
Object Detection (Q)
|
89% |
5416
433.5 IPS |
|
|
Face Detection (SP)
|
100% |
15906
189.0 IPS |
|
|
Face Detection (HP)
|
100% |
25383
301.6 IPS |
|
|
Face Detection (Q)
|
97% |
12060
143.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32800
252.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
65911
507.8 IPS |
|
|
Depth Estimation (Q)
|
71% |
22027
183.0 IPS |
|
|
Style Transfer (SP)
|
100% |
116847
150.2 IPS |
|
|
Style Transfer (HP)
|
100% |
302410
388.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95508
123.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21777
804.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36375
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13852
512.9 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
2963
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1243
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1213
27.1 IPS |
