ASUS System Product Name
Geekbench AI Score
25230
Single Precision Score
48776
Half Precision Score
19253
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Esen |
| Upload Date | December 07 2025 07:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B850M-A WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10608
1.97 KIPS |
|
|
Image Classification (HP)
|
100% |
19615
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
9720
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18997
308.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
30139
488.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17492
284.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
126793
147.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
423301
493.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
116299
136.2 IPS |
|
|
Object Detection (SP)
|
100% |
13393
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
25293
2.01 KIPS |
|
|
Object Detection (Q)
|
83% |
11396
920.8 IPS |
|
|
Face Detection (SP)
|
100% |
34124
405.5 IPS |
|
|
Face Detection (HP)
|
100% |
60057
713.6 IPS |
|
|
Face Detection (Q)
|
97% |
29363
350.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
57846
445.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
125974
970.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
46365
370.1 IPS |
|
|
Style Transfer (SP)
|
100% |
181626
233.5 IPS |
|
|
Style Transfer (HP)
|
100% |
652042
838.2 IPS |
|
|
Style Transfer (Q)
|
98% |
157122
202.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35977
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73067
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27268
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4975
6.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2469
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5889
101.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6716
115.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2157
40.5 IPS |
