HP Victus by HP Laptop 16-e0xxx
Geekbench AI Score
3433
Single Precision Score
3464
Half Precision Score
5599
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 23 2025 12:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Laptop 16-e0xxx |
| Motherboard | HP 88EB |
| Power Plan | Zrwnowaony |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2197
408.5 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.3 IPS |
|
|
Image Classification (Q)
|
100% |
3618
672.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4178
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4168
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
9001
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (HP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (Q)
|
87% |
3906
313.2 IPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4086
48.5 IPS |
|
|
Face Detection (Q)
|
97% |
10841
129.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5583
43.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
10064
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12033
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12276
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26444
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2543
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5406
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2139
2.86 KIPS |
|
|
Text Classification (Q)
|
91% |
1100
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3374
58.1 IPS |
