HP Victus by HP Gaming Laptop 16-s1xxx
Geekbench AI Score
2190
Single Precision Score
2211
Half Precision Score
1441
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | ygloo |
| Upload Date | January 25 2026 07:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (Q)
|
99% |
953
177.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
982
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2680
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
2797
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
1656
131.3 IPS |
|
|
Object Detection (Q)
|
85% |
950
76.4 IPS |
|
|
Face Detection (SP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2756
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
2231
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2730
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2740
21.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1826
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3510
4.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3510
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
5255
6.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1403
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
1777
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
801
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (Q)
|
58% |
648
15.2 IPS |
