ASUS System Product Name
Geekbench AI Score
1642
Single Precision Score
1927
Half Precision Score
1342
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:49 PM |
| Views | 2 |
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 X670E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
564
104.9 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
100% |
546
101.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
865
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5388
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
9363
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
4770
5.59 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (Q)
|
87% |
548
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
1525
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3052
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3792
29.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2619
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9605
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15528
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8392
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1854
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
715
953.8 IPS |
|
|
Text Classification (HP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
497
665.6 IPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
70% |
500
9.38 IPS |
