Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
6067
Single Precision Score
6097
Half Precision Score
8687
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bagaget |
| Upload Date | August 24 2024 05:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | AMD Ryzen Ultimate HighPower 11-v4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4329
805.0 IPS |
|
|
Image Classification (HP)
|
100% |
4320
803.4 IPS |
|
|
Image Classification (Q)
|
100% |
6011
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3636
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5864
95.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8178
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
8191
9.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
16389
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
4070
322.8 IPS |
|
|
Object Detection (HP)
|
100% |
4090
324.4 IPS |
|
|
Object Detection (Q)
|
87% |
6145
492.9 IPS |
|
|
Face Detection (SP)
|
100% |
10534
125.2 IPS |
|
|
Face Detection (HP)
|
100% |
10541
125.2 IPS |
|
|
Face Detection (Q)
|
97% |
18161
216.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10369
79.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
10326
79.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
17777
141.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23480
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23602
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46546
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4963
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4946
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9274
343.5 IPS |
|
|
Text Classification (SP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (Q)
|
91% |
1500
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5482
94.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5398
93.0 IPS |
|
|
Machine Translation (Q)
|
90% |
3300
57.3 IPS |
