ASUS System Product Name
Geekbench AI Score
6489
Single Precision Score
6495
Half Precision Score
8668
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | March 20 2026 06:17 AM |
| Views | 11 |
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% |
3948
734.3 IPS |
|
|
Image Classification (HP)
|
100% |
4017
747.1 IPS |
|
|
Image Classification (Q)
|
100% |
5625
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4827
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4767
77.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6893
112.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7238
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
7229
8.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
15435
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3993
316.7 IPS |
|
|
Object Detection (HP)
|
100% |
4008
317.9 IPS |
|
|
Object Detection (Q)
|
87% |
5897
472.9 IPS |
|
|
Face Detection (SP)
|
100% |
12207
145.0 IPS |
|
|
Face Detection (HP)
|
100% |
12188
144.8 IPS |
|
|
Face Detection (Q)
|
97% |
16881
201.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9830
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9851
75.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
16830
132.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22503
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22504
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43735
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4727
174.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8726
323.2 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (Q)
|
91% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5693
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5642
97.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5647
97.3 IPS |
