4000D Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3419
Single Precision Score
3442
Half Precision Score
4076
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | umosmani |
| Upload Date | August 15 2024 09:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M BAZOOKA (MS-7C95) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2483
461.7 IPS |
|
|
Image Classification (HP)
|
100% |
2595
482.5 IPS |
|
|
Image Classification (Q)
|
100% |
2897
538.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3014
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
6580
7.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
7171
8.41 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (Q)
|
87% |
2866
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
4921
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (Q)
|
97% |
9264
110.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6917
53.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
6911
53.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
7796
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18146
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18321
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20258
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3500
129.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3562
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4077
151.0 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
91% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (Q)
|
90% |
1566
27.2 IPS |
