ASUS System Product Name
Geekbench AI Score
17249
Single Precision Score
28918
Half Precision Score
13579
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6864
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11985
2.24 KIPS |
|
|
Image Classification (Q)
|
99% |
6070
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12686
205.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17508
283.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11444
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
84829
99.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
234294
273.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75657
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
8537
677.2 IPS |
|
|
Object Detection (HP)
|
100% |
14580
1.16 KIPS |
|
|
Object Detection (Q)
|
84% |
7546
608.6 IPS |
|
|
Face Detection (SP)
|
100% |
21273
252.8 IPS |
|
|
Face Detection (HP)
|
100% |
35031
416.2 IPS |
|
|
Face Detection (Q)
|
97% |
19019
226.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39187
301.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78781
607.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32236
257.9 IPS |
|
|
Style Transfer (SP)
|
100% |
139041
178.7 IPS |
|
|
Style Transfer (HP)
|
100% |
346079
444.9 IPS |
|
|
Style Transfer (Q)
|
98% |
126814
163.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27200
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43656
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20135
745.6 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3311
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1778
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3963
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1931
36.2 IPS |
