HP Victus by HP Gaming Laptop 16-s1xxx
Geekbench AI Score
3290
Single Precision Score
913
Half Precision Score
6904
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | ygloo |
| Upload Date | January 26 2026 06:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | HP Victus by HP Gaming Laptop 16-s1xxx |
| Motherboard | HP 8C9C |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.02 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (Q)
|
97% |
7530
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
3533
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5369
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4345
5.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
20252
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
86% |
7552
607.0 IPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.35 IPS |
|
|
Face Detection (Q)
|
97% |
15479
184.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6722
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
6062
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13375
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11509
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21462
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2535
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3765
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.9 IPS |
|
|
Text Classification (Q)
|
97% |
2075
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3849
77.3 IPS |
