ASUS System Product Name
Geekbench AI Score
7876
Single Precision Score
2882
Half Precision Score
13268
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Gorod |
| Upload Date | September 09 2025 04:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6385
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
945
175.8 IPS |
|
|
Image Classification (Q)
|
99% |
10071
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3049
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18382
298.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15637
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9309
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
51526
60.4 IPS |
|
|
Object Detection (SP)
|
100% |
6017
477.3 IPS |
|
|
Object Detection (HP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (Q)
|
86% |
13118
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
17837
211.9 IPS |
|
|
Face Detection (HP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
14951
178.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18471
142.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4007
30.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
29251
233.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35982
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22589
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42770
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5687
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3991
147.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7787
288.3 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1146
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1847
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5023
100.9 IPS |
