ASUS System Product Name
Geekbench AI Score
6684
Single Precision Score
10397
Half Precision Score
16042
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 11:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC Evaluation (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B860-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4353
809.5 IPS |
|
|
Image Classification (HP)
|
100% |
7585
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
10562
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5359
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3992
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7611
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
34465
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74926
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
4021
318.9 IPS |
|
|
Object Detection (HP)
|
100% |
6265
497.0 IPS |
|
|
Object Detection (Q)
|
87% |
10694
858.3 IPS |
|
|
Face Detection (SP)
|
100% |
11931
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
17538
208.4 IPS |
|
|
Face Detection (Q)
|
100% |
29971
356.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9754
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19147
147.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35721
277.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23316
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53514
68.8 IPS |
|
|
Style Transfer (Q)
|
98% |
98143
126.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14435
533.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27165
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3782
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2376
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5043
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4929
84.9 IPS |
