HP Victus by HP Laptop 16-e0xxx
Geekbench AI Score
12468
Single Precision Score
21269
Half Precision Score
8862
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | s-goude-surgar |
| Upload Date | October 24 2025 12:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | HP Victus by HP Laptop 16-e0xxx |
| Motherboard | HP 88EE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5483
1.02 KIPS |
|
|
Image Classification (HP)
|
99% |
8850
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
4273
796.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7986
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11692
189.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6628
107.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
54194
63.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
168811
197.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
47167
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
6385
506.4 IPS |
|
|
Object Detection (HP)
|
100% |
11059
877.2 IPS |
|
|
Object Detection (Q)
|
85% |
5156
415.1 IPS |
|
|
Face Detection (SP)
|
100% |
14766
175.5 IPS |
|
|
Face Detection (HP)
|
100% |
23191
275.6 IPS |
|
|
Face Detection (Q)
|
97% |
12016
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32603
251.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
61585
475.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
22632
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
100307
128.9 IPS |
|
|
Style Transfer (HP)
|
100% |
264643
340.2 IPS |
|
|
Style Transfer (Q)
|
98% |
81895
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19234
710.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31840
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12363
457.8 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2768
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1227
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2853
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1284
24.1 IPS |
