Micro-Star International Co., Ltd MS-7C02
Geekbench AI Score
12413
Single Precision Score
20468
Half Precision Score
8573
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 13 2024 03:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7C02 |
| Motherboard | Micro-Star International Co., Ltd B450 TOMAHAWK MAX (MS-7C02) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 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% |
5176
962.5 IPS |
|
|
Image Classification (HP)
|
99% |
8386
1.56 KIPS |
|
|
Image Classification (Q)
|
100% |
3921
729.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7899
128.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10934
177.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6560
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
66642
77.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
172080
200.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
55827
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
6172
489.6 IPS |
|
|
Object Detection (HP)
|
100% |
10138
804.1 IPS |
|
|
Object Detection (Q)
|
89% |
4592
367.6 IPS |
|
|
Face Detection (SP)
|
100% |
13832
164.4 IPS |
|
|
Face Detection (HP)
|
100% |
20433
242.8 IPS |
|
|
Face Detection (Q)
|
97% |
10679
127.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
30819
237.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
59631
460.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
21032
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
112349
144.4 IPS |
|
|
Style Transfer (HP)
|
100% |
274604
353.0 IPS |
|
|
Style Transfer (Q)
|
98% |
90324
116.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19809
731.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31812
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12990
481.0 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2733
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1168
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1057
23.6 IPS |
