HP Victus by HP Gaming Laptop 16-s1xxx
Geekbench AI Score
7916
Single Precision Score
12188
Half Precision Score
5742
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | June 13 2025 01:06 AM |
| Views | 2 |
| Notes | Stock |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s1xxx |
| Motherboard | HP 8C9C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3028
563.1 IPS |
|
|
Image Classification (HP)
|
100% |
4972
924.6 IPS |
|
|
Image Classification (Q)
|
100% |
2568
477.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4774
77.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3056
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
42234
49.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
76670
89.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
29610
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
3974
315.3 IPS |
|
|
Object Detection (Q)
|
87% |
2394
192.2 IPS |
|
|
Face Detection (SP)
|
100% |
5613
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
10726
127.4 IPS |
|
|
Face Detection (Q)
|
97% |
4651
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17193
132.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28775
221.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13048
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
70923
91.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119234
153.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46123
59.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13578
501.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23737
876.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8676
321.3 IPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3606
62.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1688
31.7 IPS |
