ASUS System Product Name
Geekbench AI Score
14106
Single Precision Score
14112
Half Precision Score
34260
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 02:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9665
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9632
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
20780
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9051
146.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8993
145.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19687
319.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19189
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19202
22.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
75426
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
8733
692.7 IPS |
|
|
Object Detection (HP)
|
100% |
8743
693.5 IPS |
|
|
Object Detection (Q)
|
88% |
23076
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
20062
238.4 IPS |
|
|
Face Detection (HP)
|
100% |
20272
240.9 IPS |
|
|
Face Detection (Q)
|
100% |
56176
667.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21946
169.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21945
169.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
66736
519.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53699
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53780
69.1 IPS |
|
|
Style Transfer (Q)
|
98% |
193610
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11936
440.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12033
444.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36078
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
7464
9.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7490
10.00 KIPS |
|
|
Text Classification (Q)
|
92% |
10014
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
10105
174.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9996
172.2 IPS |
|
|
Machine Translation (Q)
|
100% |
11932
205.5 IPS |
