ASUS System Product Name
Geekbench AI Score
6821
Single Precision Score
2604
Half Precision Score
11883
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 02:19 PM |
| Views | 5 |
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 Z890-PLUS WIFI |
| Power Plan | High performance |
| 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% |
5559
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
909
169.0 IPS |
|
|
Image Classification (Q)
|
99% |
10166
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2968
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16544
269.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14336
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8102
9.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
48283
56.6 IPS |
|
|
Object Detection (SP)
|
100% |
4673
370.7 IPS |
|
|
Object Detection (HP)
|
100% |
1144
90.7 IPS |
|
|
Object Detection (Q)
|
86% |
12169
978.0 IPS |
|
|
Face Detection (SP)
|
100% |
15327
182.1 IPS |
|
|
Face Detection (HP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
13867
165.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15797
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3620
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
22385
178.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32195
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20282
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34456
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3666
135.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7215
267.2 IPS |
|
|
Text Classification (SP)
|
100% |
2046
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4613
92.7 IPS |
