ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P440VA_V440VA
Geekbench AI Score
2858
Single Precision Score
4061
Half Precision Score
6417
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 07:40 AM |
| Views | 4 |
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% |
1707
317.5 IPS |
|
|
Image Classification (HP)
|
100% |
2580
479.9 IPS |
|
|
Image Classification (Q)
|
99% |
3909
729.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4162
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5161
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5446
6.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
3985
4.65 IPS |
|
|
Pose Estimation (Q)
|
97% |
16814
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1626
129.0 IPS |
|
|
Object Detection (HP)
|
99% |
2431
192.8 IPS |
|
|
Object Detection (Q)
|
90% |
3936
314.7 IPS |
|
|
Face Detection (SP)
|
100% |
4038
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7341
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
11505
136.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9892
76.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
13310
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14006
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21096
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37878
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2376
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7659
283.7 IPS |
|
|
Text Classification (SP)
|
71% |
1111
1.61 KIPS |
|
|
Text Classification (HP)
|
71% |
1328
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1520
26.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1506
25.9 IPS |
