ASUS System Product Name
Geekbench AI Score
6478
Single Precision Score
6392
Half Precision Score
8737
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | March 20 2026 06:05 AM |
| Views | 9 |
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% |
3962
736.9 IPS |
|
|
Image Classification (HP)
|
100% |
3933
731.3 IPS |
|
|
Image Classification (Q)
|
100% |
5618
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4835
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4773
77.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6888
112.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7215
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
7260
8.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
15431
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
4016
318.6 IPS |
|
|
Object Detection (HP)
|
100% |
3997
317.0 IPS |
|
|
Object Detection (Q)
|
87% |
5894
472.7 IPS |
|
|
Face Detection (SP)
|
100% |
12130
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
12103
143.8 IPS |
|
|
Face Detection (Q)
|
97% |
16847
200.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9782
75.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9801
75.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
16798
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22459
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22595
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43760
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4744
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8735
323.6 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (Q)
|
91% |
1220
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5664
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5585
96.2 IPS |
