ASUS System Product Name
Geekbench AI Score
15039
Single Precision Score
15050
Half Precision Score
33332
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 08:49 PM |
| Views | 2 |
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% |
9556
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9515
1.77 KIPS |
|
|
Image Classification (Q)
|
100% |
19634
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9296
150.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9300
150.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20178
327.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19330
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19296
22.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
75780
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
9859
782.0 IPS |
|
|
Object Detection (HP)
|
100% |
9819
778.9 IPS |
|
|
Object Detection (Q)
|
88% |
22445
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
29792
354.0 IPS |
|
|
Face Detection (HP)
|
100% |
29809
354.2 IPS |
|
|
Face Detection (Q)
|
100% |
55565
660.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26126
201.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25998
200.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
65563
510.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53751
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54369
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
190342
245.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11952
441.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11919
440.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34481
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7098
9.47 KIPS |
|
|
Text Classification (HP)
|
100% |
7128
9.51 KIPS |
|
|
Text Classification (Q)
|
92% |
9277
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
9856
169.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9938
171.2 IPS |
|
|
Machine Translation (Q)
|
100% |
11326
195.1 IPS |
