Ryzen 9 5950X - AutoOC+DOCP - +200 MHz; Radeon RX 6900 XT - AutoOC - C2716, V1069, M2150, F100%, P+15% ASUS System Product Name
Geekbench AI Score
32796
Single Precision Score
35650
Half Precision Score
24481
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BlueBoy3000 |
| Upload Date | January 07 2026 07:25 AM |
| Views | 11 |
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% |
13597
2.53 KIPS |
|
|
Image Classification (HP)
|
100% |
13239
2.46 KIPS |
|
|
Image Classification (Q)
|
99% |
10937
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22238
360.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18110
293.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18152
295.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
219281
255.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
331337
386.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
179600
210.4 IPS |
|
|
Object Detection (SP)
|
100% |
14966
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
15406
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
12240
983.0 IPS |
|
|
Face Detection (SP)
|
100% |
42108
500.3 IPS |
|
|
Face Detection (HP)
|
100% |
45346
538.8 IPS |
|
|
Face Detection (Q)
|
97% |
33072
394.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
76597
590.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
82928
638.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
57466
461.4 IPS |
|
|
Style Transfer (SP)
|
100% |
386234
496.5 IPS |
|
|
Style Transfer (HP)
|
100% |
514480
661.4 IPS |
|
|
Style Transfer (Q)
|
98% |
305070
393.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43753
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51530
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31691
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4324
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2829
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
6157
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6395
110.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3409
63.9 IPS |
