ASUS System Product Name
Geekbench AI Score
7817
Single Precision Score
2753
Half Precision Score
13214
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Dziarson |
| Upload Date | April 18 2025 08:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5530
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
876
162.8 IPS |
|
|
Image Classification (Q)
|
99% |
13183
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5235
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22096
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13960
16.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
66779
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
5950
471.9 IPS |
|
|
Object Detection (HP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (Q)
|
86% |
14767
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
10958
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
15525
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17677
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4131
31.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
30993
247.3 IPS |
|
|
Style Transfer (SP)
|
100% |
39299
50.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30481
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56559
72.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4631
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3668
135.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6480
239.9 IPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2075
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
6520
131.0 IPS |
