HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
2247
Single Precision Score
1063
Half Precision Score
4524
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 06:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.3 IPS |
|
|
Image Classification (Q)
|
99% |
5272
983.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
2170
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3505
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3094
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
13855
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
86% |
4481
360.1 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
6369
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4719
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1637
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5361
42.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8699
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8098
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18251
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1564
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2359
87.3 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
506
675.5 IPS |
|
|
Text Classification (Q)
|
97% |
1352
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
65% |
2547
51.2 IPS |
