ASUS System Product Name
Geekbench AI Score
8160
Single Precision Score
2908
Half Precision Score
13567
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Dziarson |
| Upload Date | April 19 2025 02:15 AM |
| Views | 2 |
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% |
5773
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
912
169.5 IPS |
|
|
Image Classification (Q)
|
99% |
13929
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5356
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23854
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15210
17.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
75681
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
6186
490.7 IPS |
|
|
Object Detection (HP)
|
100% |
1163
92.3 IPS |
|
|
Object Detection (Q)
|
86% |
15692
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
11458
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
15962
190.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18736
144.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4185
32.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
31906
254.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42960
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34680
44.6 IPS |
|
|
Style Transfer (Q)
|
98% |
57406
74.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6502
240.8 IPS |
|
|
Text Classification (SP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2136
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5877
118.1 IPS |
