ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P440VA_P440VA
Geekbench AI Score
2847
Single Precision Score
4050
Half Precision Score
6399
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 01:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P440VA_P440VA |
| 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% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.5 IPS |
|
|
Image Classification (Q)
|
99% |
3893
726.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4175
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5169
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5444
6.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
3964
4.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
16782
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
99% |
2450
194.3 IPS |
|
|
Object Detection (Q)
|
90% |
3970
317.4 IPS |
|
|
Face Detection (SP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7275
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
11137
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5979
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9881
76.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13379
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14016
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21076
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38193
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3815
140.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7647
283.2 IPS |
|
|
Text Classification (SP)
|
71% |
1074
1.55 KIPS |
|
|
Text Classification (HP)
|
71% |
1312
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1520
26.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1523
26.2 IPS |
