ASUS System Product Name
Geekbench AI Score
15175
Single Precision Score
15193
Half Precision Score
33799
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | November 19 2024 08:59 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% |
9705
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9751
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
20211
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9450
153.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9464
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20578
333.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19625
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19642
22.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
76333
89.4 IPS |
|
|
Object Detection (SP)
|
100% |
10001
793.2 IPS |
|
|
Object Detection (HP)
|
100% |
9983
791.8 IPS |
|
|
Object Detection (Q)
|
88% |
22336
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
30128
358.0 IPS |
|
|
Face Detection (HP)
|
100% |
30193
358.8 IPS |
|
|
Face Detection (Q)
|
100% |
56685
673.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26399
203.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26239
202.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
66802
519.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54777
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
55326
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
193705
249.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12163
449.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12027
444.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35040
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
6785
9.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6804
9.08 KIPS |
|
|
Text Classification (Q)
|
92% |
9302
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
10012
172.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10102
174.0 IPS |
|
|
Machine Translation (Q)
|
100% |
11477
197.7 IPS |
