HP Victus by HP Gaming Laptop 16-r1xxx
Geekbench AI Score
3064
Single Precision Score
1163
Half Precision Score
4938
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bittenapple |
| Upload Date | January 29 2025 09:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC Evaluation (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r1xxx |
| Motherboard | HP 8C99 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2431
452.1 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.3 IPS |
|
|
Image Classification (Q)
|
99% |
4207
784.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2481
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5393
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3617
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
17544
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2377
188.5 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (Q)
|
86% |
4543
365.1 IPS |
|
|
Face Detection (SP)
|
100% |
5958
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
6725
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6894
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1644
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11134
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12895
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8739
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17826
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2203
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2989
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
570
760.4 IPS |
|
|
Text Classification (Q)
|
97% |
1236
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
65% |
2102
42.2 IPS |
