ASUS System Product Name
Geekbench AI Score
31234
Single Precision Score
34023
Half Precision Score
23751
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 16 2025 10:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12612
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
12588
2.34 KIPS |
|
|
Image Classification (Q)
|
99% |
10231
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22555
365.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18151
294.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18638
303.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
213609
249.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
325634
380.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
176244
206.5 IPS |
|
|
Object Detection (SP)
|
100% |
14560
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
14851
1.18 KIPS |
|
|
Object Detection (Q)
|
87% |
12199
979.7 IPS |
|
|
Face Detection (SP)
|
100% |
43736
519.7 IPS |
|
|
Face Detection (HP)
|
100% |
46650
554.3 IPS |
|
|
Face Detection (Q)
|
97% |
34409
410.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
74563
574.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81252
626.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
55575
446.3 IPS |
|
|
Style Transfer (SP)
|
100% |
374461
481.4 IPS |
|
|
Style Transfer (HP)
|
100% |
503811
647.7 IPS |
|
|
Style Transfer (Q)
|
98% |
299551
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42495
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49809
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31093
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2316
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6092
104.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6046
104.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3379
63.4 IPS |
