ASUS System Product Name
Geekbench AI Score
1982
Single Precision Score
2177
Half Precision Score
1625
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 10:04 AM |
| 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. PRIME B650M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (HP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (Q)
|
100% |
642
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6664
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
10874
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
6001
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
87% |
690
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
2255
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
2109
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3828
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4539
35.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3365
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11325
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16380
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9982
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2092
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
525
703.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
70% |
612
11.5 IPS |
