HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
3524
Single Precision Score
1661
Half Precision Score
6458
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Dorazo |
| Upload Date | December 26 2024 10:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb2xxx |
| Motherboard | HP 8C2F |
| Power Plan | Zrwnowaony |
| 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 | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2982
554.6 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (Q)
|
99% |
7425
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3487
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4956
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
21357
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2723
216.0 IPS |
|
|
Object Detection (HP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
7256
583.2 IPS |
|
|
Face Detection (SP)
|
100% |
4951
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
9894
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7600
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2599
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7008
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14280
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12163
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23046
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2313
85.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3365
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1931
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3029
60.9 IPS |
