ASUS System Product Name
Geekbench AI Score
32590
Single Precision Score
35230
Half Precision Score
24063
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Pex_Water_Pipes |
| Upload Date | October 05 2025 02:12 PM |
| Views | 6 |
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. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13407
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
13250
2.46 KIPS |
|
|
Image Classification (Q)
|
99% |
10770
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22715
368.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17533
284.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17809
289.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
218217
254.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
328461
383.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
175776
206.0 IPS |
|
|
Object Detection (SP)
|
100% |
14615
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
15178
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
11964
960.9 IPS |
|
|
Face Detection (SP)
|
100% |
42276
502.3 IPS |
|
|
Face Detection (HP)
|
100% |
45384
539.3 IPS |
|
|
Face Detection (Q)
|
97% |
32837
391.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
75324
580.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81095
624.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
56154
450.9 IPS |
|
|
Style Transfer (SP)
|
100% |
380179
488.7 IPS |
|
|
Style Transfer (HP)
|
100% |
505254
649.5 IPS |
|
|
Style Transfer (Q)
|
98% |
299569
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43339
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51213
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31125
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4218
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2761
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6288
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6465
111.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3400
63.8 IPS |
