ASUS System Product Name
Geekbench AI Score
33567
Single Precision Score
37010
Half Precision Score
24784
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 21 2025 12:35 AM |
| Views | 14 |
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% |
14647
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
14338
2.67 KIPS |
|
|
Image Classification (Q)
|
99% |
11666
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24361
394.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19544
316.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19098
310.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
204173
238.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
309108
360.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
169505
198.6 IPS |
|
|
Object Detection (SP)
|
100% |
15623
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
16093
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
12778
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
45385
539.3 IPS |
|
|
Face Detection (HP)
|
100% |
48712
578.8 IPS |
|
|
Face Detection (Q)
|
97% |
34986
417.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
75415
581.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83113
640.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
56491
453.6 IPS |
|
|
Style Transfer (SP)
|
100% |
365913
470.4 IPS |
|
|
Style Transfer (HP)
|
100% |
508112
653.2 IPS |
|
|
Style Transfer (Q)
|
98% |
293325
378.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45024
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53883
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32761
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4301
5.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4594
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2741
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6580
113.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6794
117.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3482
65.3 IPS |
