ASUS System Product Name
Geekbench AI Score
32261
Single Precision Score
45453
Half Precision Score
27735
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MadeByPunk |
| Upload Date | December 25 2025 08:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14352
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
16425
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
13667
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17320
280.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20192
327.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22007
357.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
195845
228.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
603735
704.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
179370
210.2 IPS |
|
|
Object Detection (SP)
|
100% |
14589
1.16 KIPS |
|
|
Object Detection (HP)
|
99% |
19268
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
13341
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
43565
517.6 IPS |
|
|
Face Detection (HP)
|
100% |
50643
601.8 IPS |
|
|
Face Detection (Q)
|
97% |
38504
459.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
82200
633.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
125149
964.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
66588
545.7 IPS |
|
|
Style Transfer (SP)
|
100% |
361512
464.7 IPS |
|
|
Style Transfer (HP)
|
100% |
663018
852.3 IPS |
|
|
Style Transfer (Q)
|
98% |
329481
424.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48966
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81763
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42045
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4621
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
97% |
3346
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5871
101.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5978
103.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3149
70.2 IPS |
