System manufacturer System Product Name
Geekbench AI Score
3027
Single Precision Score
3036
Half Precision Score
3444
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fearlipe |
| Upload Date | December 19 2024 03:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-A |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1940
360.9 IPS |
|
|
Image Classification (HP)
|
100% |
1961
364.7 IPS |
|
|
Image Classification (Q)
|
100% |
2127
395.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2634
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4741
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4717
5.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
5143
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (Q)
|
87% |
2329
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4329
51.4 IPS |
|
|
Face Detection (Q)
|
97% |
7012
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5404
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5424
41.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5915
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13635
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13588
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14683
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3021
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
1787
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (Q)
|
91% |
785
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2421
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2455
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2428
41.8 IPS |
