ASUS System Product Name
Geekbench AI Score
34229
Single Precision Score
37389
Half Precision Score
25366
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 09 2025 11:42 PM |
| Views | 10 |
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% |
13748
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
13451
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
10924
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25489
413.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19899
322.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20105
326.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
223647
261.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
337866
394.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
184513
216.2 IPS |
|
|
Object Detection (SP)
|
100% |
15554
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
15915
1.26 KIPS |
|
|
Object Detection (Q)
|
87% |
12795
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
46822
556.3 IPS |
|
|
Face Detection (HP)
|
100% |
49881
592.7 IPS |
|
|
Face Detection (Q)
|
97% |
36692
437.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
77615
598.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84298
649.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
58208
467.4 IPS |
|
|
Style Transfer (SP)
|
100% |
393486
505.8 IPS |
|
|
Style Transfer (HP)
|
100% |
523756
673.3 IPS |
|
|
Style Transfer (Q)
|
98% |
310184
400.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45060
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52860
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32595
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4132
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2613
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7091
122.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7712
132.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3770
70.7 IPS |
