HP Victus by HP 15L Gaming Desktop TG02-0xxx
Geekbench AI Score
4776
Single Precision Score
4660
Half Precision Score
11571
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | March 06 2025 06:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3277
609.5 IPS |
|
|
Image Classification (HP)
|
100% |
3264
607.0 IPS |
|
|
Image Classification (Q)
|
100% |
7455
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3283
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3451
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5705
92.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6721
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
6940
8.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
25773
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2928
232.3 IPS |
|
|
Object Detection (HP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (Q)
|
88% |
7829
627.6 IPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4786
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
16942
201.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7733
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7402
57.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
19722
153.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19839
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19965
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
73371
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4115
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3329
122.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13440
497.7 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (Q)
|
92% |
4671
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3258
56.1 IPS |
