ASUS System Product Name
Geekbench AI Score
6607
Single Precision Score
9201
Half Precision Score
13991
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Dementor048 |
| Upload Date | March 31 2025 08:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| 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% |
4186
778.4 IPS |
|
|
Image Classification (HP)
|
100% |
5798
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8540
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5020
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3936
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
34053
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73945
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
3767
298.8 IPS |
|
|
Object Detection (HP)
|
100% |
5871
465.7 IPS |
|
|
Object Detection (Q)
|
87% |
9836
789.4 IPS |
|
|
Face Detection (SP)
|
100% |
10309
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
15604
185.4 IPS |
|
|
Face Detection (Q)
|
100% |
23781
282.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9831
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17449
134.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
31911
248.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24078
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49491
63.6 IPS |
|
|
Style Transfer (Q)
|
98% |
92090
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14035
518.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24926
923.1 IPS |
|
|
Text Classification (SP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5234
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3854
66.4 IPS |
