HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
3162
Single Precision Score
1465
Half Precision Score
7236
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 01:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb2xxx |
| Motherboard | HP 8C2F |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.6 IPS |
|
|
Image Classification (Q)
|
99% |
7581
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8508
138.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4881
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4081
4.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
20521
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
86% |
6683
537.1 IPS |
|
|
Face Detection (SP)
|
100% |
5002
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
9424
112.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6303
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2163
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6943
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10965
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10037
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23974
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5755
213.1 IPS |
|
|
Text Classification (SP)
|
100% |
1742
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1640
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1971
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3006
60.4 IPS |
