ASUS System Product Name
Geekbench AI Score
16766
Single Precision Score
28107
Half Precision Score
13226
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 04:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI II |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| 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% |
6809
1.27 KIPS |
|
|
Image Classification (HP)
|
99% |
12023
2.24 KIPS |
|
|
Image Classification (Q)
|
99% |
6148
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11592
187.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15563
252.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10449
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
82459
96.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
227770
265.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
72732
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
8380
664.7 IPS |
|
|
Object Detection (HP)
|
100% |
14220
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
7316
590.0 IPS |
|
|
Face Detection (SP)
|
100% |
20045
238.2 IPS |
|
|
Face Detection (HP)
|
100% |
31496
374.2 IPS |
|
|
Face Detection (Q)
|
97% |
17875
213.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
38073
293.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77015
593.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
31327
250.6 IPS |
|
|
Style Transfer (SP)
|
100% |
133111
171.1 IPS |
|
|
Style Transfer (HP)
|
100% |
338958
435.7 IPS |
|
|
Style Transfer (Q)
|
98% |
121401
156.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27746
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44578
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20302
751.7 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3727
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1936
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1794
33.6 IPS |
