HP Victus by HP Laptop 16-d012xxx
Geekbench AI Score
13134
Single Precision Score
23176
Half Precision Score
9181
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Seb_Vince |
| Upload Date | July 13 2025 07:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Laptop 16-d012xxx |
| Motherboard | HP 88F8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5648
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
8908
1.66 KIPS |
|
|
Image Classification (Q)
|
99% |
4306
803.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9084
147.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14314
232.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7413
120.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57321
66.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
176129
205.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
48992
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
6790
538.6 IPS |
|
|
Object Detection (HP)
|
100% |
12466
988.8 IPS |
|
|
Object Detection (Q)
|
85% |
5416
436.0 IPS |
|
|
Face Detection (SP)
|
100% |
16176
192.2 IPS |
|
|
Face Detection (HP)
|
100% |
26670
316.9 IPS |
|
|
Face Detection (Q)
|
97% |
12938
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33258
256.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
63861
493.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22933
183.6 IPS |
|
|
Style Transfer (SP)
|
100% |
103552
133.1 IPS |
|
|
Style Transfer (HP)
|
100% |
276241
355.1 IPS |
|
|
Style Transfer (Q)
|
98% |
86322
111.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18670
689.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33699
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12625
467.5 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3058
4.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1169
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1330
24.9 IPS |
