ASUS System Product Name
Geekbench AI Score
6508
Single Precision Score
6518
Half Precision Score
8785
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | March 20 2026 07:12 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3967
737.7 IPS |
|
|
Image Classification (HP)
|
100% |
3967
737.6 IPS |
|
|
Image Classification (Q)
|
100% |
5700
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4792
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4771
77.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6908
112.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7295
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
7278
8.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
15521
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
4009
318.0 IPS |
|
|
Object Detection (HP)
|
100% |
4009
318.0 IPS |
|
|
Object Detection (Q)
|
87% |
5905
473.6 IPS |
|
|
Face Detection (SP)
|
100% |
11974
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
12134
144.2 IPS |
|
|
Face Detection (Q)
|
97% |
16877
201.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9874
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9905
76.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
16883
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22721
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22766
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
43843
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4780
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8754
324.3 IPS |
|
|
Text Classification (SP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (Q)
|
91% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5722
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5748
99.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5712
98.4 IPS |
