ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P440VA_V440VA
Geekbench AI Score
2856
Single Precision Score
4063
Half Precision Score
6409
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 08:06 AM |
| Views | 3 |
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% |
1671
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
99% |
3897
726.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4165
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5133
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5445
6.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
3956
4.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
16774
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
99% |
2457
194.9 IPS |
|
|
Object Detection (Q)
|
90% |
4058
324.5 IPS |
|
|
Face Detection (SP)
|
100% |
4098
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7393
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
11462
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5963
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9869
76.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
13346
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14042
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21334
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37926
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2382
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7581
280.7 IPS |
|
|
Text Classification (SP)
|
71% |
1097
1.59 KIPS |
|
|
Text Classification (HP)
|
71% |
1283
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1278
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1522
26.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1528
26.3 IPS |
