ASUS System Product Name
Geekbench AI Score
4149
Single Precision Score
2980
Half Precision Score
9651
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 31 2025 10:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| 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% |
2446
454.9 IPS |
|
|
Image Classification (HP)
|
100% |
1686
313.6 IPS |
|
|
Image Classification (Q)
|
100% |
6547
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5498
89.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4046
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4632
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5830
6.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
17510
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2130
168.9 IPS |
|
|
Object Detection (HP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (Q)
|
88% |
6767
542.4 IPS |
|
|
Face Detection (SP)
|
100% |
4884
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
5310
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
15342
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5742
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4121
31.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
16965
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13616
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8306
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
45428
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10064
372.7 IPS |
|
|
Text Classification (SP)
|
100% |
2736
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2508
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
4657
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3972
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4031
69.4 IPS |
