ASUS System Product Name
Geekbench AI Score
30039
Single Precision Score
33187
Half Precision Score
21751
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 02:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
| 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% |
12250
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
12224
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9408
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19904
322.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16367
265.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16811
273.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
202345
236.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
303524
354.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
165776
194.2 IPS |
|
|
Object Detection (SP)
|
100% |
13798
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
14371
1.14 KIPS |
|
|
Object Detection (Q)
|
89% |
10748
860.7 IPS |
|
|
Face Detection (SP)
|
100% |
35778
425.1 IPS |
|
|
Face Detection (HP)
|
100% |
40180
477.4 IPS |
|
|
Face Detection (Q)
|
97% |
27138
323.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70521
543.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77034
593.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
50845
409.9 IPS |
|
|
Style Transfer (SP)
|
100% |
367079
471.9 IPS |
|
|
Style Transfer (HP)
|
100% |
494058
635.1 IPS |
|
|
Style Transfer (Q)
|
98% |
290809
375.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43072
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50681
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31028
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4026
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4276
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2562
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5472
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5604
96.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2637
58.8 IPS |
