HP Victus by HP 15L Gaming Desktop TG02-0xxx
Geekbench AI Score
3721
Single Precision Score
1465
Half Precision Score
5363
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | March 07 2025 06:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP 15L Gaming Desktop TG02-0xxx |
| Motherboard | HP 89B5 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2911
541.3 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (Q)
|
99% |
5669
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2779
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7100
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4158
4.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
23363
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
86% |
5131
412.4 IPS |
|
|
Face Detection (SP)
|
100% |
5439
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
8203
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8286
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2069
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13354
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15463
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10295
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16280
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2964
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1929
71.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4341
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
571
764.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2358
47.4 IPS |
