HP OMEN by HP Transcend Gaming Laptop 16-u0xxx
Geekbench AI Score
4826
Single Precision Score
4830
Half Precision Score
10968
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 02:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Transcend Gaming Laptop 16-u0xxx |
| Motherboard | HP 8BB3 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3344
621.9 IPS |
|
|
Image Classification (HP)
|
100% |
3266
607.3 IPS |
|
|
Image Classification (Q)
|
100% |
7240
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4041
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5200
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6190
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
22466
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
1869
148.2 IPS |
|
|
Object Detection (HP)
|
100% |
1792
142.1 IPS |
|
|
Object Detection (Q)
|
88% |
7739
620.3 IPS |
|
|
Face Detection (SP)
|
100% |
8757
104.1 IPS |
|
|
Face Detection (HP)
|
100% |
8942
106.3 IPS |
|
|
Face Detection (Q)
|
100% |
18600
221.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8074
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8010
61.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
19956
155.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17673
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17231
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
61102
78.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12025
445.3 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (Q)
|
92% |
4696
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3007
51.8 IPS |
