ASUS System Product Name
Geekbench AI Score
9733
Single Precision Score
9640
Half Precision Score
21211
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 19 2024 08:09 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5563
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5433
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
11562
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5363
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5282
85.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11584
187.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17512
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17483
20.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
66510
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
6078
482.1 IPS |
|
|
Object Detection (HP)
|
100% |
5936
470.9 IPS |
|
|
Object Detection (Q)
|
88% |
13815
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
14974
177.9 IPS |
|
|
Face Detection (HP)
|
100% |
15041
178.7 IPS |
|
|
Face Detection (Q)
|
100% |
36021
428.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18285
140.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17998
138.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
44060
342.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43612
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41840
53.8 IPS |
|
|
Style Transfer (Q)
|
98% |
145466
187.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8689
320.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8751
323.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23678
876.9 IPS |
|
|
Text Classification (SP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
92% |
4800
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5760
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5676
97.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5711
98.4 IPS |
