Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
16872
Single Precision Score
27057
Half Precision Score
11236
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | shaf_ali |
| Upload Date | August 28 2024 09:08 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6928
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
10478
1.95 KIPS |
|
|
Image Classification (Q)
|
100% |
4932
917.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10201
165.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12990
210.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8369
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
103063
120.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
285036
332.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
83868
98.2 IPS |
|
|
Object Detection (SP)
|
100% |
9072
719.6 IPS |
|
|
Object Detection (HP)
|
100% |
13982
1.11 KIPS |
|
|
Object Detection (Q)
|
88% |
6556
525.7 IPS |
|
|
Face Detection (SP)
|
100% |
18947
225.1 IPS |
|
|
Face Detection (HP)
|
100% |
30044
357.0 IPS |
|
|
Face Detection (Q)
|
97% |
14113
168.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38046
293.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77660
598.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
26293
212.7 IPS |
|
|
Style Transfer (SP)
|
100% |
174813
224.7 IPS |
|
|
Style Transfer (HP)
|
100% |
444239
571.1 IPS |
|
|
Style Transfer (Q)
|
98% |
137452
177.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30818
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41280
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18009
666.8 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
99% |
2610
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1245
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1236
27.6 IPS |
