HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
3819
Single Precision Score
4227
Half Precision Score
8456
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | llluuucccaaaa |
| Upload Date | March 29 2025 03:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r0xxx |
| Motherboard | HP 8BBE |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2599
483.3 IPS |
|
|
Image Classification (HP)
|
100% |
2656
494.0 IPS |
|
|
Image Classification (Q)
|
100% |
5761
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3315
53.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3563
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4773
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4848
5.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
17736
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (Q)
|
88% |
6118
490.4 IPS |
|
|
Face Detection (SP)
|
100% |
6737
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
6649
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
8071
95.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4107
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6331
48.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15092
117.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14450
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14407
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
49807
64.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3016
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9643
357.1 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3777
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3801
65.5 IPS |
