ASUS System Product Name
Geekbench AI Score
7551
Single Precision Score
2834
Half Precision Score
12790
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 04 2025 02:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6050
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
960
178.5 IPS |
|
|
Image Classification (Q)
|
99% |
10748
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17872
290.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15644
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9254
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
50117
58.8 IPS |
|
|
Object Detection (SP)
|
100% |
5886
466.9 IPS |
|
|
Object Detection (HP)
|
100% |
1274
101.1 IPS |
|
|
Object Detection (Q)
|
86% |
12031
966.9 IPS |
|
|
Face Detection (SP)
|
100% |
17418
207.0 IPS |
|
|
Face Detection (HP)
|
100% |
2699
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
14273
170.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17792
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3744
28.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
27939
222.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35686
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22951
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39399
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5476
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3901
144.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7629
282.5 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1721
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4905
98.6 IPS |
