ASUS System Product Name
Geekbench AI Score
20266
Single Precision Score
35246
Half Precision Score
16030
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | stanislaff |
| Upload Date | February 04 2026 11:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H610M-E D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600KF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8106
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
14050
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
7476
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13340
216.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18879
306.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12790
208.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
117144
136.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
347968
406.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
109617
128.4 IPS |
|
|
Object Detection (SP)
|
100% |
10263
814.1 IPS |
|
|
Object Detection (HP)
|
100% |
16444
1.30 KIPS |
|
|
Object Detection (Q)
|
83% |
8783
709.6 IPS |
|
|
Face Detection (SP)
|
100% |
25680
305.1 IPS |
|
|
Face Detection (HP)
|
100% |
35627
423.3 IPS |
|
|
Face Detection (Q)
|
97% |
21499
256.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
50439
388.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
102424
789.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
41721
333.0 IPS |
|
|
Style Transfer (SP)
|
100% |
168232
216.3 IPS |
|
|
Style Transfer (HP)
|
100% |
536027
689.1 IPS |
|
|
Style Transfer (Q)
|
98% |
146165
188.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30936
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54908
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24853
920.3 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4298
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2121
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3970
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1762
33.1 IPS |
