ASUS System Product Name
Geekbench AI Score
5700
Single Precision Score
5688
Half Precision Score
7836
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | March 20 2026 07:16 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% |
3234
601.4 IPS |
|
|
Image Classification (HP)
|
100% |
3229
600.5 IPS |
|
|
Image Classification (Q)
|
100% |
5034
936.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3689
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3715
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5656
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6100
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6112
7.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
12634
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
3290
261.0 IPS |
|
|
Object Detection (HP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (Q)
|
87% |
5256
421.6 IPS |
|
|
Face Detection (SP)
|
100% |
11580
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
10589
125.8 IPS |
|
|
Face Detection (Q)
|
97% |
16543
197.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7973
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9398
72.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
16443
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21819
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17801
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35633
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4602
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6757
250.3 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (Q)
|
91% |
1227
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5586
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5755
99.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5750
99.1 IPS |
