ASUS System Product Name
Geekbench AI Score
3206
Single Precision Score
3222
Half Precision Score
4252
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 06:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME A520M-E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2311
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (Q)
|
100% |
2836
527.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2991
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6095
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6120
7.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
7178
8.42 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (Q)
|
87% |
2855
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (Q)
|
97% |
9407
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6338
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6161
47.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
7660
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16525
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16626
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19644
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3189
117.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3231
119.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3988
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (Q)
|
91% |
734
987.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2673
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2662
45.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2684
46.2 IPS |
