HP Victus by HP Gaming Laptop 15-fa2xxx
Geekbench AI Score
3349
Single Precision Score
3313
Half Precision Score
8053
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa2xxx |
| Motherboard | HP 8E5C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2447
455.1 IPS |
|
|
Image Classification (HP)
|
100% |
2282
424.4 IPS |
|
|
Image Classification (Q)
|
100% |
5586
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4009
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3997
4.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
14482
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2054
162.9 IPS |
|
|
Object Detection (HP)
|
100% |
1908
151.4 IPS |
|
|
Object Detection (Q)
|
88% |
5594
448.4 IPS |
|
|
Face Detection (SP)
|
100% |
3783
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
4143
49.2 IPS |
|
|
Face Detection (Q)
|
100% |
8130
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4222
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3653
28.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
14147
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12285
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12412
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
44274
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2699
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2567
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8764
324.5 IPS |
|
|
Text Classification (SP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
4158
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3426
59.0 IPS |
