ASUS System Product Name
Geekbench AI Score
18480
Single Precision Score
33400
Half Precision Score
14311
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B760M-AYW WIFI |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7857
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
14511
2.70 KIPS |
|
|
Image Classification (Q)
|
99% |
7029
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11840
191.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16272
263.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10958
178.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
92088
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
287332
335.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
76689
89.8 IPS |
|
|
Object Detection (SP)
|
100% |
10051
797.2 IPS |
|
|
Object Detection (HP)
|
100% |
16255
1.29 KIPS |
|
|
Object Detection (Q)
|
83% |
8592
694.2 IPS |
|
|
Face Detection (SP)
|
100% |
22897
272.1 IPS |
|
|
Face Detection (HP)
|
100% |
35124
417.4 IPS |
|
|
Face Detection (Q)
|
97% |
20658
246.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44438
342.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99432
766.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35785
286.1 IPS |
|
|
Style Transfer (SP)
|
100% |
145681
187.3 IPS |
|
|
Style Transfer (HP)
|
100% |
497301
639.3 IPS |
|
|
Style Transfer (Q)
|
98% |
115947
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27721
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53563
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21414
792.9 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4306
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2243
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1725
32.4 IPS |
