ASUS System Product Name
Geekbench AI Score
33912
Single Precision Score
48947
Half Precision Score
29778
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 10:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850-PLUS WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15192
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
18836
3.50 KIPS |
|
|
Image Classification (Q)
|
99% |
14037
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18525
300.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22047
357.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25603
416.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
207602
242.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
658264
768.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
188554
220.9 IPS |
|
|
Object Detection (SP)
|
100% |
13877
1.10 KIPS |
|
|
Object Detection (HP)
|
99% |
21407
1.70 KIPS |
|
|
Object Detection (Q)
|
87% |
14079
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
56437
670.6 IPS |
|
|
Face Detection (HP)
|
100% |
66885
794.7 IPS |
|
|
Face Detection (Q)
|
97% |
49516
590.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
80183
617.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
126050
971.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
68620
549.9 IPS |
|
|
Style Transfer (SP)
|
100% |
351497
451.9 IPS |
|
|
Style Transfer (HP)
|
100% |
689596
886.5 IPS |
|
|
Style Transfer (Q)
|
98% |
322326
415.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50063
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85993
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42134
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4309
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2989
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
7232
124.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7320
126.1 IPS |
|
|
Machine Translation (Q)
|
70% |
4167
78.2 IPS |
