ASUS System Product Name
Geekbench AI Score
20941
Single Precision Score
36827
Half Precision Score
16528
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 12:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8870
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
15097
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
8187
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13301
215.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17938
290.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12346
200.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
119470
139.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
366257
427.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
111648
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
10887
863.6 IPS |
|
|
Object Detection (HP)
|
100% |
18037
1.43 KIPS |
|
|
Object Detection (Q)
|
83% |
9365
756.7 IPS |
|
|
Face Detection (SP)
|
100% |
26983
320.6 IPS |
|
|
Face Detection (HP)
|
100% |
42070
499.9 IPS |
|
|
Face Detection (Q)
|
97% |
23973
285.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
53527
412.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
108646
837.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
42927
342.6 IPS |
|
|
Style Transfer (SP)
|
100% |
168689
216.9 IPS |
|
|
Style Transfer (HP)
|
100% |
559503
719.2 IPS |
|
|
Style Transfer (Q)
|
98% |
145390
187.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31919
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59534
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25232
934.3 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2116
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1802
33.8 IPS |
