ASUS System Product Name
Geekbench AI Score
6161
Single Precision Score
6266
Half Precision Score
8494
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3413
634.7 IPS |
|
|
Image Classification (HP)
|
100% |
3812
708.8 IPS |
|
|
Image Classification (Q)
|
100% |
5860
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5099
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5119
83.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9264
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9944
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10305
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
22231
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
3978
315.5 IPS |
|
|
Object Detection (HP)
|
100% |
4039
320.4 IPS |
|
|
Object Detection (Q)
|
87% |
6808
546.0 IPS |
|
|
Face Detection (SP)
|
100% |
8866
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
8948
106.3 IPS |
|
|
Face Detection (Q)
|
97% |
20715
247.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10078
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10196
78.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
20791
163.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28800
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29706
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
63563
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5791
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11712
433.8 IPS |
|
|
Text Classification (SP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (Q)
|
91% |
280
375.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2652
45.7 IPS |
