HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
5471
Single Precision Score
7632
Half Precision Score
4300
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Ashley0143 |
| Upload Date | November 10 2025 05:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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 | Balanced |
| 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% |
2166
402.8 IPS |
|
|
Image Classification (HP)
|
100% |
2798
520.3 IPS |
|
|
Image Classification (Q)
|
100% |
2000
371.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3250
52.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2459
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28286
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
47171
55.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
19813
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
2605
206.7 IPS |
|
|
Object Detection (Q)
|
87% |
1895
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8100
96.2 IPS |
|
|
Face Detection (Q)
|
97% |
3850
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13766
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19670
151.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
10400
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41237
53.0 IPS |
|
|
Style Transfer (HP)
|
100% |
77848
100.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31396
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9192
339.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15611
576.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6086
225.4 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1174
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1304
24.5 IPS |
