ASUS System Product Name
Geekbench AI Score
5362
Single Precision Score
8730
Half Precision Score
13011
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 06:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Ausbalanciert |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3759
699.0 IPS |
|
|
Image Classification (HP)
|
100% |
5840
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
7855
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3747
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8467
137.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9604
155.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11682
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10799
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
37123
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (HP)
|
100% |
5159
409.2 IPS |
|
|
Object Detection (Q)
|
88% |
8506
681.7 IPS |
|
|
Face Detection (SP)
|
100% |
6558
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
13682
162.6 IPS |
|
|
Face Detection (Q)
|
100% |
22294
264.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11297
87.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
19828
153.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
23907
185.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26925
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38203
49.1 IPS |
|
|
Style Transfer (Q)
|
98% |
89419
115.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5215
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9441
348.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15433
571.5 IPS |
|
|
Text Classification (SP)
|
71% |
1624
2.35 KIPS |
|
|
Text Classification (HP)
|
71% |
2531
3.66 KIPS |
|
|
Text Classification (Q)
|
92% |
2600
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3773
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3053
52.8 IPS |
