ASUS System Product Name
Geekbench AI Score
7602
Single Precision Score
2862
Half Precision Score
13038
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 03 2025 10:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5965
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
966
179.6 IPS |
|
|
Image Classification (Q)
|
99% |
10700
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17942
291.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15608
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9227
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
51011
59.8 IPS |
|
|
Object Detection (SP)
|
100% |
5963
473.0 IPS |
|
|
Object Detection (HP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (Q)
|
86% |
12698
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
17200
204.4 IPS |
|
|
Face Detection (HP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
14442
172.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17974
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3922
30.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
29719
237.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35230
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22941
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39298
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7479
276.9 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1816
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4985
100.2 IPS |
