ASUS System Product Name
Geekbench AI Score
23897
Single Precision Score
43625
Half Precision Score
18516
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | zarushi |
| Upload Date | October 05 2025 12:00 AM |
| Views | 6 |
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% |
9873
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
17399
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9063
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17320
280.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25544
414.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15785
256.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
129451
151.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
411655
480.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
119874
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
11890
943.1 IPS |
|
|
Object Detection (HP)
|
100% |
20275
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
10256
828.6 IPS |
|
|
Face Detection (SP)
|
100% |
30080
357.4 IPS |
|
|
Face Detection (HP)
|
100% |
47820
568.2 IPS |
|
|
Face Detection (Q)
|
97% |
26518
316.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
57088
439.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
120315
927.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
46351
370.0 IPS |
|
|
Style Transfer (SP)
|
100% |
183319
235.7 IPS |
|
|
Style Transfer (HP)
|
100% |
626438
805.3 IPS |
|
|
Style Transfer (Q)
|
98% |
156336
201.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35586
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66942
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27219
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2437
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5202
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5758
99.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2113
39.6 IPS |
