ASUS System Product Name
Geekbench AI Score
4151
Single Precision Score
1552
Half Precision Score
6298
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lnrsoft |
| Upload Date | February 20 2025 05:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Bitsum Highest Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2846
529.3 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
96% |
5900
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
3364
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12606
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8232
9.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
24090
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3758
298.1 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
58% |
4688
512.2 IPS |
|
|
Face Detection (SP)
|
100% |
6260
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (Q)
|
96% |
10112
120.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8865
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2423
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14807
118.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17753
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14860
19.1 IPS |
|
|
Style Transfer (Q)
|
87% |
24404
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3182
117.9 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.9 IPS |
|
|
Text Classification (Q)
|
97% |
1350
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2034
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2794
54.0 IPS |
