HP Victus by HP Gaming Laptop 16-s1xxx
Geekbench AI Score
4617
Single Precision Score
4587
Half Precision Score
12860
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | ygloo |
| Upload Date | January 25 2026 07:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3046
566.4 IPS |
|
|
Image Classification (HP)
|
100% |
3074
571.7 IPS |
|
|
Image Classification (Q)
|
100% |
9447
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3160
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5826
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
5861
6.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
23005
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2898
229.9 IPS |
|
|
Object Detection (HP)
|
100% |
2907
230.6 IPS |
|
|
Object Detection (Q)
|
88% |
9555
765.9 IPS |
|
|
Face Detection (SP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
6694
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
22678
269.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7680
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7748
59.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
22895
178.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15537
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15663
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
61045
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3558
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3594
132.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12494
462.7 IPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6106
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5354
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5283
91.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7801
134.4 IPS |
