ASUS System Product Name
Geekbench AI Score
23864
Single Precision Score
49016
Half Precision Score
52316
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Jim905 |
| Upload Date | February 04 2026 10:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12627
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
26339
4.90 KIPS |
|
|
Image Classification (Q)
|
100% |
27435
5.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22768
369.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36730
595.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
38729
627.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
83508
97.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
347285
405.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
652025
763.4 IPS |
|
|
Object Detection (SP)
|
100% |
10350
821.0 IPS |
|
|
Object Detection (HP)
|
100% |
27236
2.16 KIPS |
|
|
Object Detection (Q)
|
88% |
29833
2.39 KIPS |
|
|
Face Detection (SP)
|
100% |
29642
352.2 IPS |
|
|
Face Detection (HP)
|
100% |
59807
710.6 IPS |
|
|
Face Detection (Q)
|
100% |
67124
797.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
61225
471.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
138262
1.07 KIPS |
|
|
Depth Estimation (Q)
|
89% |
164280
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
183745
236.2 IPS |
|
|
Style Transfer (HP)
|
100% |
569259
731.8 IPS |
|
|
Style Transfer (Q)
|
98% |
635335
819.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32920
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74557
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64706
2.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4833
6.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4490
5.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2854
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5552
95.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5744
98.9 IPS |
