ASUS System Product Name
Geekbench AI Score
6506
Single Precision Score
6511
Half Precision Score
8781
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | March 20 2026 06:24 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% |
3973
738.9 IPS |
|
|
Image Classification (HP)
|
100% |
3957
735.8 IPS |
|
|
Image Classification (Q)
|
100% |
5632
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4838
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4769
77.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6899
112.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7270
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
7273
8.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
15432
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
4007
317.8 IPS |
|
|
Object Detection (HP)
|
100% |
4042
320.6 IPS |
|
|
Object Detection (Q)
|
87% |
5894
472.7 IPS |
|
|
Face Detection (SP)
|
100% |
12128
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
12271
145.8 IPS |
|
|
Face Detection (Q)
|
97% |
16788
200.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9915
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9837
75.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
16811
132.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22507
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43740
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8734
323.5 IPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (Q)
|
91% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5751
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5797
99.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5712
98.4 IPS |
