ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P440VA_V440VA
Geekbench AI Score
2849
Single Precision Score
4236
Half Precision Score
6756
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 09:09 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P440VA_V440VA |
| Motherboard | ASUSTeK COMPUTER INC. P440VA |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.4 IPS |
|
|
Image Classification (HP)
|
100% |
2709
503.7 IPS |
|
|
Image Classification (Q)
|
99% |
4160
776.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4184
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5152
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5457
6.37 IPS |
|
|
Pose Estimation (HP)
|
99% |
4065
4.74 IPS |
|
|
Pose Estimation (Q)
|
97% |
16776
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.8 IPS |
|
|
Object Detection (HP)
|
99% |
2485
197.1 IPS |
|
|
Object Detection (Q)
|
90% |
4133
330.4 IPS |
|
|
Face Detection (SP)
|
100% |
4159
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7602
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
12190
144.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5947
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9925
76.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
13390
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13976
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20912
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38324
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2381
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7716
285.7 IPS |
|
|
Text Classification (SP)
|
71% |
1130
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
1375
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1389
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1973
34.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1990
34.4 IPS |
