ASUS System Product Name
Geekbench AI Score
7246
Single Precision Score
2727
Half Precision Score
12479
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 06 2025 01:32 AM |
| Views | 6 |
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% |
5823
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
933
173.4 IPS |
|
|
Image Classification (Q)
|
99% |
10288
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16727
272.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14859
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8834
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
49350
57.9 IPS |
|
|
Object Detection (SP)
|
100% |
5266
417.7 IPS |
|
|
Object Detection (HP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (Q)
|
86% |
11938
959.4 IPS |
|
|
Face Detection (SP)
|
100% |
16104
191.3 IPS |
|
|
Face Detection (HP)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
13945
166.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17530
135.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3844
29.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
28574
228.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32238
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22328
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38001
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7332
271.5 IPS |
|
|
Text Classification (SP)
|
100% |
1994
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1764
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4613
92.7 IPS |
