ASUS System Product Name
Geekbench AI Score
4311
Single Precision Score
1774
Half Precision Score
8463
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:08 PM |
| 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 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B860-PLUS WIFI |
| Power Plan | Driver Booster Power Plan |
| 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% |
3138
583.6 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
99% |
7827
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12222
198.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8008
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5524
6.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
25619
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
3309
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
863
68.4 IPS |
|
|
Object Detection (Q)
|
86% |
10009
804.4 IPS |
|
|
Face Detection (SP)
|
100% |
9501
112.9 IPS |
|
|
Face Detection (HP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
12090
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8719
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2227
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13349
106.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19832
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12738
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22228
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4294
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
681
909.3 IPS |
|
|
Text Classification (Q)
|
97% |
1355
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3683
74.0 IPS |
