HP Victus by HP 16.1 inch Gaming Laptop PC
Geekbench AI Score
2345
Single Precision Score
1067
Half Precision Score
4624
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | VISHWESH_333 |
| Upload Date | January 08 2025 05:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP 16.1 inch Gaming Laptop PC |
| Motherboard | HP 8BD5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
99% |
6094
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
2734
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3993
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
17372
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
4451
357.8 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
7335
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4969
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1707
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6105
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9266
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7875
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17350
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1865
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
586
782.1 IPS |
|
|
Text Classification (Q)
|
97% |
1420
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
65% |
1688
33.9 IPS |
