ASUS System Product Name
Geekbench AI Score
7981
Single Precision Score
2725
Half Precision Score
10605
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 18 2026 10:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Atlas Power Scheme |
| 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% |
6100
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
99% |
10683
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5783
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16715
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9824
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
56128
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
5941
471.2 IPS |
|
|
Object Detection (HP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (Q)
|
86% |
11457
920.8 IPS |
|
|
Face Detection (SP)
|
100% |
16744
199.0 IPS |
|
|
Face Detection (HP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
14171
169.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19654
151.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3927
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
30952
247.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38560
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24931
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38540
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4321
159.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7721
285.9 IPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4360
87.6 IPS |
