ASUS System Product Name
Geekbench AI Score
4690
Single Precision Score
4650
Half Precision Score
7232
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | August 16 2024 04:58 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2847
529.4 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.2 IPS |
|
|
Image Classification (Q)
|
100% |
5074
943.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5719
93.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11258
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
24550
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (HP)
|
100% |
3336
264.6 IPS |
|
|
Object Detection (Q)
|
87% |
6086
488.2 IPS |
|
|
Face Detection (SP)
|
100% |
7544
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
7034
83.6 IPS |
|
|
Face Detection (Q)
|
97% |
18161
216.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10275
79.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
9843
75.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
19610
155.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31724
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32343
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
67559
87.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10992
407.2 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
91% |
238
319.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (Q)
|
90% |
1436
24.9 IPS |
