HP Victus by HP Laptop 16-d1xxx
Geekbench AI Score
2593
Single Precision Score
2609
Half Precision Score
1618
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mvbantas74 |
| Upload Date | May 08 2025 10:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Laptop 16-d1xxx |
| Motherboard | HP 8A25 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1104
205.3 IPS |
|
|
Image Classification (HP)
|
100% |
1160
215.6 IPS |
|
|
Image Classification (Q)
|
100% |
958
178.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1192
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9148
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10192
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
4909
5.75 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
98% |
1095
87.1 IPS |
|
|
Object Detection (Q)
|
86% |
1037
83.4 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2906
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4926
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5431
42.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3421
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20161
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25814
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13127
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1247
46.2 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
433
578.0 IPS |
|
|
Text Classification (Q)
|
97% |
447
598.9 IPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
70% |
462
8.67 IPS |
