ASUS System Product Name
Geekbench AI Score
7348
Single Precision Score
10483
Half Precision Score
15984
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 09:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | High performance |
| 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% |
4389
816.2 IPS |
|
|
Image Classification (HP)
|
100% |
7186
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10054
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5896
95.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3962
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8538
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
34906
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75510
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
6336
502.5 IPS |
|
|
Object Detection (Q)
|
87% |
10283
825.3 IPS |
|
|
Face Detection (SP)
|
100% |
13397
159.2 IPS |
|
|
Face Detection (HP)
|
100% |
18112
215.2 IPS |
|
|
Face Detection (Q)
|
100% |
33129
393.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11080
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21082
162.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
38499
299.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25587
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
57751
74.2 IPS |
|
|
Style Transfer (Q)
|
98% |
105644
136.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5213
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14601
539.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24525
908.3 IPS |
|
|
Text Classification (SP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2199
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2203
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4783
82.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4836
83.3 IPS |
