ASUS System Product Name
Geekbench AI Score
20757
Single Precision Score
36964
Half Precision Score
16269
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yasin9300 |
| Upload Date | December 07 2025 05:50 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z690-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8223
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
15008
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
7550
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13980
226.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19127
310.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12932
210.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
117847
137.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
359018
418.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
109582
128.4 IPS |
|
|
Object Detection (SP)
|
100% |
10723
850.6 IPS |
|
|
Object Detection (HP)
|
100% |
17635
1.40 KIPS |
|
|
Object Detection (Q)
|
83% |
9231
745.8 IPS |
|
|
Face Detection (SP)
|
100% |
26475
314.6 IPS |
|
|
Face Detection (HP)
|
100% |
39831
473.3 IPS |
|
|
Face Detection (Q)
|
97% |
23590
281.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
52275
402.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105380
811.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
42731
341.1 IPS |
|
|
Style Transfer (SP)
|
100% |
167637
215.5 IPS |
|
|
Style Transfer (HP)
|
100% |
550335
707.5 IPS |
|
|
Style Transfer (Q)
|
98% |
146709
189.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29871
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58114
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23489
869.8 IPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4350
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2065
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4487
77.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1834
34.4 IPS |
