HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
2471
Single Precision Score
1287
Half Precision Score
3428
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 06:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s0xxx |
| 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% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
99% |
4123
769.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
700
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2167
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4440
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3790
4.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
19950
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (Q)
|
88% |
1704
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
4161
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5298
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2009
15.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4437
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10699
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9988
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19952
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2981
110.4 IPS |
|
|
Text Classification (SP)
|
100% |
1654
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.9 IPS |
|
|
Text Classification (Q)
|
97% |
381
510.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1764
39.3 IPS |
