ASUS System Product Name
Geekbench AI Score
1881
Single Precision Score
2057
Half Precision Score
1536
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Moklonus |
| Upload Date | March 22 2025 04:20 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | 1usmus Ryzen Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
615
114.3 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.5 IPS |
|
|
Image Classification (Q)
|
100% |
611
113.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
961
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6235
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
10316
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
5615
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
87% |
670
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
2059
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1910
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3537
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4189
32.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3107
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10979
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15914
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9695
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2614
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3549
131.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1999
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
745
994.7 IPS |
|
|
Text Classification (HP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
509
681.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
70% |
566
10.6 IPS |
