HP Victus by HP Gaming Laptop 16-r1xxx
Geekbench AI Score
3285
Single Precision Score
1213
Half Precision Score
3798
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r1xxx |
| Motherboard | HP 8C99 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1841
342.3 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.8 IPS |
|
|
Image Classification (Q)
|
99% |
3163
589.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2585
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7464
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3756
4.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
23990
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (Q)
|
88% |
1693
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
3593
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7576
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1681
13.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7840
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17171
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9391
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20066
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3930
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.9 IPS |
|
|
Text Classification (Q)
|
97% |
426
570.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
60% |
1989
44.4 IPS |
