ASUS System Product Name
Geekbench AI Score
34169
Single Precision Score
37212
Half Precision Score
25347
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 16 2025 09:24 AM |
| Views | 6 |
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 | Ultimate Performance |
| 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% |
14054
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
13779
2.56 KIPS |
|
|
Image Classification (Q)
|
99% |
11339
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24545
397.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19216
311.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19530
317.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
204458
238.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
314021
366.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
171628
201.1 IPS |
|
|
Object Detection (SP)
|
100% |
15838
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
16009
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
12984
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
45569
541.5 IPS |
|
|
Face Detection (HP)
|
100% |
48183
572.5 IPS |
|
|
Face Detection (Q)
|
97% |
35689
425.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
77885
600.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84623
652.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
57825
464.3 IPS |
|
|
Style Transfer (SP)
|
100% |
380765
489.5 IPS |
|
|
Style Transfer (HP)
|
100% |
512494
658.8 IPS |
|
|
Style Transfer (Q)
|
98% |
305366
393.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46644
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54483
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33121
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4309
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4409
5.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2870
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
7152
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7620
131.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3704
69.5 IPS |
