ASUS System Product Name
Geekbench AI Score
7921
Single Precision Score
5313
Half Precision Score
18955
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 31 2025 08:08 AM |
| Views | 5 |
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(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4735
880.6 IPS |
|
|
Image Classification (HP)
|
100% |
3446
640.9 IPS |
|
|
Image Classification (Q)
|
100% |
11263
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6279
101.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14521
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9228
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
35133
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
4691
372.1 IPS |
|
|
Object Detection (HP)
|
100% |
3367
267.1 IPS |
|
|
Object Detection (Q)
|
88% |
12641
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
14961
177.8 IPS |
|
|
Face Detection (HP)
|
100% |
10841
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
34006
404.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11915
91.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8442
65.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
34833
270.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27414
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17547
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
98035
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3897
143.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18913
700.4 IPS |
|
|
Text Classification (SP)
|
100% |
4376
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2574
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6288
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6139
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5839
100.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5971
102.9 IPS |
