HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
1518
Single Precision Score
700
Half Precision Score
3190
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 12:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s0xxx |
| Motherboard | HP 8BD4 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1136
211.2 IPS |
|
|
Image Classification (HP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (Q)
|
99% |
2988
557.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1410
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2273
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
9243
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1172
92.9 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
86% |
3200
257.2 IPS |
|
|
Face Detection (SP)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (Q)
|
97% |
4644
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3108
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1079
8.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
5448
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5765
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
5171
6.65 IPS |
|
|
Style Transfer (Q)
|
98% |
13933
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1697
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
331
442.2 IPS |
|
|
Text Classification (Q)
|
97% |
817
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (Q)
|
65% |
1793
36.0 IPS |
