HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
16795
Single Precision Score
29181
Half Precision Score
13271
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 01:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
6480
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
11648
2.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6078
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12383
200.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17560
284.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11270
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
81981
95.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
237493
277.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
72579
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
8365
663.5 IPS |
|
|
Object Detection (HP)
|
100% |
15664
1.24 KIPS |
|
|
Object Detection (Q)
|
84% |
7446
600.5 IPS |
|
|
Face Detection (SP)
|
100% |
20856
247.8 IPS |
|
|
Face Detection (HP)
|
100% |
32909
391.0 IPS |
|
|
Face Detection (Q)
|
97% |
18343
218.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
36790
283.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77566
597.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
30502
244.0 IPS |
|
|
Style Transfer (SP)
|
100% |
133869
172.1 IPS |
|
|
Style Transfer (HP)
|
100% |
347487
446.7 IPS |
|
|
Style Transfer (Q)
|
98% |
120231
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26421
975.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43909
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19644
727.4 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3427
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1810
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4070
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4409
75.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1914
35.9 IPS |
