Ryzen 9 5950X - AutoOC+DOCP - +200 MHz; Radeon RX 6900 XT - AutoOC - C108%, V91%, M2150, F100%, P+15% ASUS System Product Name
Geekbench AI Score
32469
Single Precision Score
35459
Half Precision Score
24388
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BlueBoy3000 |
| Upload Date | January 07 2026 07:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13557
2.52 KIPS |
|
|
Image Classification (HP)
|
100% |
13185
2.45 KIPS |
|
|
Image Classification (Q)
|
99% |
10908
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22056
357.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18097
293.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18079
294.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
218467
254.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
329078
384.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
180098
211.0 IPS |
|
|
Object Detection (SP)
|
100% |
14861
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
15321
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
12292
987.2 IPS |
|
|
Face Detection (SP)
|
100% |
42165
501.0 IPS |
|
|
Face Detection (HP)
|
100% |
45307
538.3 IPS |
|
|
Face Detection (Q)
|
97% |
32834
391.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
76557
589.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
83138
640.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
57192
459.3 IPS |
|
|
Style Transfer (SP)
|
100% |
385755
495.9 IPS |
|
|
Style Transfer (HP)
|
100% |
516283
663.7 IPS |
|
|
Style Transfer (Q)
|
98% |
303708
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43778
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51849
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31674
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2790
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6175
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6393
110.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3384
63.5 IPS |
