HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
366
Single Precision Score
455
Half Precision Score
234
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Soocle |
| Upload Date | September 30 2025 03:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | HP Victus by HP Gaming Laptop 16-r0xxx |
| Motherboard | HP 8BBE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
99% |
95
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
329
5.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1504
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1533
1.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
1411
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
85% |
100
8.07 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.14 IPS |
|
|
Face Detection (Q)
|
97% |
410
4.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
541
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.89 IPS |
|
|
Depth Estimation (Q)
|
63% |
286
2.68 IPS |
|
|
Style Transfer (SP)
|
100% |
2124
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2082
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
2779
3.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
244
9.05 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.1 IPS |
|
|
Text Classification (HP)
|
100% |
1049
1.40 KIPS |
|
|
Text Classification (Q)
|
92% |
21
27.9 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.56 IPS |
|
|
Machine Translation (HP)
|
100% |
147
2.54 IPS |
|
|
Machine Translation (Q)
|
58% |
68
1.60 IPS |
