ASUS System Product Name
Geekbench AI Score
3305
Single Precision Score
1326
Half Precision Score
4554
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 03:40 AM |
| Views | 1 |
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 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.9 IPS |
|
|
Image Classification (Q)
|
96% |
5167
964.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2330
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6861
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
5260
6.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
17788
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
58% |
3731
407.6 IPS |
|
|
Face Detection (SP)
|
100% |
5146
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
8163
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7496
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2035
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12160
97.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15783
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (Q)
|
87% |
18827
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1873
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2936
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
557
743.7 IPS |
|
|
Text Classification (Q)
|
97% |
389
520.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2252
43.5 IPS |
