HP Victus by HP Gaming Laptop 15-fb0xxx
Geekbench AI Score
8067
Single Precision Score
9896
Half Precision Score
5967
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 09:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX 6500M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb0xxx |
| Motherboard | HP 8A3F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2972
552.7 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.5 IPS |
|
|
Image Classification (Q)
|
100% |
2586
481.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5009
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4132
67.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4158
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
42401
49.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
70719
82.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
35378
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
3259
258.5 IPS |
|
|
Object Detection (HP)
|
100% |
3705
293.9 IPS |
|
|
Object Detection (Q)
|
87% |
2853
229.2 IPS |
|
|
Face Detection (SP)
|
100% |
8693
103.3 IPS |
|
|
Face Detection (HP)
|
100% |
11506
136.7 IPS |
|
|
Face Detection (Q)
|
97% |
7030
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20154
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27107
208.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
11922
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81312
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
109874
141.2 IPS |
|
|
Style Transfer (Q)
|
98% |
64345
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14445
533.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17670
652.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9120
337.7 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (Q)
|
97% |
972
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1104
20.7 IPS |
