ASUS System Product Name
Geekbench AI Score
18677
Single Precision Score
33500
Half Precision Score
14367
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B760M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8030
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
14555
2.71 KIPS |
|
|
Image Classification (Q)
|
99% |
7275
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11789
191.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16044
260.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10828
176.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
91927
107.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
286075
333.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
76255
89.3 IPS |
|
|
Object Detection (SP)
|
100% |
9993
792.7 IPS |
|
|
Object Detection (HP)
|
100% |
16472
1.31 KIPS |
|
|
Object Detection (Q)
|
83% |
8611
695.7 IPS |
|
|
Face Detection (SP)
|
100% |
23099
274.5 IPS |
|
|
Face Detection (HP)
|
100% |
35588
422.9 IPS |
|
|
Face Detection (Q)
|
97% |
19586
233.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
46557
358.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
97159
748.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
38275
306.0 IPS |
|
|
Style Transfer (SP)
|
100% |
148509
190.9 IPS |
|
|
Style Transfer (HP)
|
100% |
495237
636.6 IPS |
|
|
Style Transfer (Q)
|
98% |
126209
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27745
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53873
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21297
788.6 IPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4377
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1645
30.9 IPS |
