ASUS System Product Name
Geekbench AI Score
34192
Single Precision Score
37393
Half Precision Score
24923
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 13 2025 06:02 AM |
| Views | 9 |
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% |
13879
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
13441
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
10921
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25220
408.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19646
318.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19857
322.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
213706
249.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
337750
394.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
180839
211.9 IPS |
|
|
Object Detection (SP)
|
100% |
15603
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
15911
1.26 KIPS |
|
|
Object Detection (Q)
|
87% |
12692
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
46087
547.6 IPS |
|
|
Face Detection (HP)
|
100% |
49423
587.3 IPS |
|
|
Face Detection (Q)
|
97% |
35778
426.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
78414
604.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84560
651.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
58501
469.8 IPS |
|
|
Style Transfer (SP)
|
100% |
393488
505.8 IPS |
|
|
Style Transfer (HP)
|
100% |
524668
674.5 IPS |
|
|
Style Transfer (Q)
|
98% |
311360
401.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45512
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53910
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30488
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2571
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
7155
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7439
128.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3637
68.2 IPS |
