ASUS System Product Name
Geekbench AI Score
23476
Single Precision Score
43134
Half Precision Score
18154
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | zarushi |
| Upload Date | October 04 2025 07:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS D4 |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9601
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
16984
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8897
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16967
275.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25229
409.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15554
252.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
124679
145.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
401840
468.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
115112
134.8 IPS |
|
|
Object Detection (SP)
|
100% |
11648
923.9 IPS |
|
|
Object Detection (HP)
|
100% |
20193
1.60 KIPS |
|
|
Object Detection (Q)
|
83% |
10130
818.5 IPS |
|
|
Face Detection (SP)
|
100% |
29613
351.9 IPS |
|
|
Face Detection (HP)
|
100% |
47553
565.0 IPS |
|
|
Face Detection (Q)
|
97% |
26023
310.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55924
430.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
119397
919.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
45390
362.3 IPS |
|
|
Style Transfer (SP)
|
100% |
175491
225.6 IPS |
|
|
Style Transfer (HP)
|
100% |
611565
786.2 IPS |
|
|
Style Transfer (Q)
|
98% |
150923
194.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34711
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66589
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26672
987.6 IPS |
|
|
Text Classification (SP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4875
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2431
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5450
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5690
98.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2085
39.1 IPS |
