ASUS System Product Name
Geekbench AI Score
15182
Single Precision Score
15201
Half Precision Score
33810
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 08:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9669
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9638
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
19898
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9458
153.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9450
153.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20477
331.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19565
22.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19532
22.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
75823
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
9980
791.6 IPS |
|
|
Object Detection (HP)
|
100% |
9981
791.7 IPS |
|
|
Object Detection (Q)
|
88% |
22801
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
29986
356.3 IPS |
|
|
Face Detection (HP)
|
100% |
29970
356.1 IPS |
|
|
Face Detection (Q)
|
100% |
56420
670.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25872
199.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25881
199.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67124
522.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55036
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55110
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
192565
248.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12103
446.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11961
441.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35270
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7197
9.61 KIPS |
|
|
Text Classification (HP)
|
100% |
7222
9.64 KIPS |
|
|
Text Classification (Q)
|
92% |
9416
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
9799
168.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10054
173.2 IPS |
|
|
Machine Translation (Q)
|
100% |
11441
197.1 IPS |
