HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
14429
Single Precision Score
24310
Half Precision Score
11219
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 05:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r0xxx |
| Motherboard | HP 8BC2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5170
961.4 IPS |
|
|
Image Classification (HP)
|
99% |
9959
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
5102
951.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9784
158.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12550
203.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8969
145.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
77346
90.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
215178
251.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
70694
82.8 IPS |
|
|
Object Detection (SP)
|
100% |
6790
538.6 IPS |
|
|
Object Detection (HP)
|
100% |
13248
1.05 KIPS |
|
|
Object Detection (Q)
|
84% |
5800
467.8 IPS |
|
|
Face Detection (SP)
|
100% |
18353
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
26988
320.7 IPS |
|
|
Face Detection (Q)
|
97% |
14391
171.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32423
249.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
60166
464.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
27203
218.1 IPS |
|
|
Style Transfer (SP)
|
100% |
127267
163.6 IPS |
|
|
Style Transfer (HP)
|
100% |
308806
397.0 IPS |
|
|
Style Transfer (Q)
|
98% |
113197
146.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23536
869.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37988
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17427
645.3 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
3566
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1540
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2818
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1416
26.5 IPS |
