ASUSGee ASUS System Product Name
Geekbench AI Score
4448
Single Precision Score
6465
Half Precision Score
3038
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | svswe |
| Upload Date | December 10 2025 09:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| Power Plan | Balanserat |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2642
491.4 IPS |
|
|
Image Classification (HP)
|
100% |
3941
732.8 IPS |
|
|
Image Classification (Q)
|
99% |
1973
367.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3217
52.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5520
89.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2193
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8081
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
13430
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
7175
8.41 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
4603
365.1 IPS |
|
|
Object Detection (Q)
|
86% |
2058
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
5448
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
9042
107.4 IPS |
|
|
Face Detection (Q)
|
97% |
3604
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9204
70.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15577
120.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6745
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25282
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41051
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19545
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7397
273.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3186
118.0 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
707
947.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2567
44.4 IPS |
|
|
Machine Translation (Q)
|
70% |
982
18.4 IPS |
