ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P440VA_V440VA
Geekbench AI Score
2510
Single Precision Score
1293
Half Precision Score
5109
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 05:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| 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% |
1805
335.7 IPS |
|
|
Image Classification (HP)
|
100% |
543
101.0 IPS |
|
|
Image Classification (Q)
|
99% |
3976
741.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5347
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3792
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2940
3.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
11258
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
4001
321.6 IPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
6692
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5157
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1935
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9889
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9069
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7520
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
13814
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3953
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1497
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2342
47.1 IPS |
