HP Victus by HP 15L Gaming Desktop TG02-0xxx
Geekbench AI Score
16575
Single Precision Score
27718
Half Precision Score
12800
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | duck_mango1 |
| Upload Date | December 10 2025 04:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | HP Victus by HP 15L Gaming Desktop TG02-0xxx |
| Motherboard | HP 89B5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6358
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
10713
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
5600
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11510
186.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15825
256.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10514
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
85172
99.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
232532
271.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74740
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
8011
635.4 IPS |
|
|
Object Detection (HP)
|
100% |
14238
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
7148
576.5 IPS |
|
|
Face Detection (SP)
|
100% |
18780
223.2 IPS |
|
|
Face Detection (HP)
|
100% |
31875
378.7 IPS |
|
|
Face Detection (Q)
|
97% |
16757
199.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39580
304.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78202
602.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
32105
256.8 IPS |
|
|
Style Transfer (SP)
|
100% |
137026
176.1 IPS |
|
|
Style Transfer (HP)
|
100% |
318825
409.9 IPS |
|
|
Style Transfer (Q)
|
98% |
122132
157.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26826
990.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42182
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19835
734.5 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1723
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1672
31.4 IPS |
