HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
4379
Single Precision Score
5820
Half Precision Score
8843
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 20 2025 09:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r0xxx |
| Motherboard | HP 8BBE |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2736
508.8 IPS |
|
|
Image Classification (HP)
|
100% |
3882
721.9 IPS |
|
|
Image Classification (Q)
|
99% |
5057
943.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4038
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6362
103.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7558
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9295
10.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
6819
7.96 IPS |
|
|
Pose Estimation (Q)
|
97% |
27910
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
2572
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
3635
288.3 IPS |
|
|
Object Detection (Q)
|
90% |
5641
451.0 IPS |
|
|
Face Detection (SP)
|
100% |
7698
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
11052
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
16108
191.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9414
72.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
14414
111.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
18781
146.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24160
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31894
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
62266
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6146
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11186
414.3 IPS |
|
|
Text Classification (SP)
|
71% |
1078
1.56 KIPS |
|
|
Text Classification (HP)
|
71% |
1316
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
1299
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1775
30.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1777
30.6 IPS |
