ASUS System Product Name
Geekbench AI Score
7166
Single Precision Score
10347
Half Precision Score
15860
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 06:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PRO WIFI |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4329
805.1 IPS |
|
|
Image Classification (HP)
|
100% |
7524
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10645
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5769
93.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3550
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8360
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
34975
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
76605
89.7 IPS |
|
|
Object Detection (SP)
|
100% |
4098
325.0 IPS |
|
|
Object Detection (HP)
|
100% |
6297
499.5 IPS |
|
|
Object Detection (Q)
|
87% |
10602
850.9 IPS |
|
|
Face Detection (SP)
|
100% |
12707
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
18209
216.4 IPS |
|
|
Face Detection (Q)
|
100% |
35403
420.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10559
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19025
146.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
35018
272.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24876
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54799
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
96301
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14760
545.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25213
933.7 IPS |
|
|
Text Classification (SP)
|
100% |
4096
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
2344
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5814
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4566
78.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4651
80.1 IPS |
