ASUS System Product Name
Geekbench AI Score
6519
Single Precision Score
2476
Half Precision Score
11372
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:10 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. 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% |
5453
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
860
160.0 IPS |
|
|
Image Classification (Q)
|
99% |
10021
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16194
263.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14085
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8177
9.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
48114
56.4 IPS |
|
|
Object Detection (SP)
|
100% |
5047
400.4 IPS |
|
|
Object Detection (HP)
|
100% |
1170
92.8 IPS |
|
|
Object Detection (Q)
|
86% |
10468
841.3 IPS |
|
|
Face Detection (SP)
|
100% |
13845
164.5 IPS |
|
|
Face Detection (HP)
|
100% |
2431
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
13178
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15287
117.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3108
23.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
24329
194.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28510
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19126
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26572
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3050
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7293
270.0 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1587
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4491
90.2 IPS |
