ASUS System Product Name
Geekbench AI Score
17490
Single Precision Score
29212
Half Precision Score
13781
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | FlamingO |
| Upload Date | April 01 2026 09:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6780
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
12096
2.26 KIPS |
|
|
Image Classification (Q)
|
99% |
6256
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12114
196.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16747
271.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11302
183.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
87061
101.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
232794
271.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
76784
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
8670
687.7 IPS |
|
|
Object Detection (HP)
|
100% |
14385
1.14 KIPS |
|
|
Object Detection (Q)
|
84% |
7592
612.4 IPS |
|
|
Face Detection (SP)
|
100% |
21351
253.7 IPS |
|
|
Face Detection (HP)
|
100% |
34506
410.0 IPS |
|
|
Face Detection (Q)
|
97% |
19209
229.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
40007
308.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
80767
622.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
32948
263.6 IPS |
|
|
Style Transfer (SP)
|
100% |
141488
181.9 IPS |
|
|
Style Transfer (HP)
|
100% |
350626
450.7 IPS |
|
|
Style Transfer (Q)
|
98% |
127716
164.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28062
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44573
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20986
777.1 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1837
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4031
69.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1924
36.1 IPS |
