ASUS System Product Name
Geekbench AI Score
21605
Single Precision Score
39502
Half Precision Score
16641
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zyyads |
| Upload Date | June 25 2025 12:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8010
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
16199
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7458
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16773
271.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21766
352.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14095
229.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
114493
133.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
371088
433.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
106573
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
10688
847.8 IPS |
|
|
Object Detection (HP)
|
100% |
18307
1.45 KIPS |
|
|
Object Detection (Q)
|
83% |
9362
756.4 IPS |
|
|
Face Detection (SP)
|
100% |
28406
337.5 IPS |
|
|
Face Detection (HP)
|
100% |
47054
559.1 IPS |
|
|
Face Detection (Q)
|
97% |
25029
298.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
52074
401.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103496
797.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
41022
327.4 IPS |
|
|
Style Transfer (SP)
|
100% |
165799
213.1 IPS |
|
|
Style Transfer (HP)
|
100% |
553791
711.9 IPS |
|
|
Style Transfer (Q)
|
98% |
141205
182.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29809
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59352
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24396
903.3 IPS |
|
|
Text Classification (SP)
|
100% |
3583
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2220
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5147
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1978
37.1 IPS |
