ASUS System Product Name
Geekbench AI Score
32760
Single Precision Score
35504
Half Precision Score
24330
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 09 2025 02:08 AM |
| Views | 7 |
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% |
13367
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
12866
2.39 KIPS |
|
|
Image Classification (Q)
|
99% |
10835
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23276
377.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18344
297.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18760
305.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
207182
241.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
318339
371.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
172229
201.8 IPS |
|
|
Object Detection (SP)
|
100% |
15157
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
15263
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
12561
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
44882
533.3 IPS |
|
|
Face Detection (HP)
|
100% |
47562
565.1 IPS |
|
|
Face Detection (Q)
|
97% |
34779
414.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
76640
590.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
82144
632.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
57179
459.1 IPS |
|
|
Style Transfer (SP)
|
100% |
372751
479.2 IPS |
|
|
Style Transfer (HP)
|
100% |
499149
641.7 IPS |
|
|
Style Transfer (Q)
|
98% |
296907
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43666
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50282
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31684
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4109
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4259
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2588
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6335
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6646
114.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3415
64.0 IPS |
