HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
18225
Single Precision Score
30022
Half Precision Score
14410
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 06:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s0xxx |
| Motherboard | HP 8BD4 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7490
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
12481
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
6737
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12361
200.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16199
262.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11506
187.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
101479
118.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
283798
331.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
92066
107.9 IPS |
|
|
Object Detection (SP)
|
100% |
9070
719.4 IPS |
|
|
Object Detection (HP)
|
100% |
14670
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
7831
630.4 IPS |
|
|
Face Detection (SP)
|
100% |
21623
256.9 IPS |
|
|
Face Detection (HP)
|
100% |
32375
384.7 IPS |
|
|
Face Detection (Q)
|
97% |
18098
215.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42287
325.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
83071
640.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
34510
275.8 IPS |
|
|
Style Transfer (SP)
|
100% |
172077
221.2 IPS |
|
|
Style Transfer (HP)
|
100% |
422099
542.6 IPS |
|
|
Style Transfer (Q)
|
98% |
154378
199.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33239
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48504
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24134
893.6 IPS |
|
|
Text Classification (SP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3566
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3600
62.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1665
31.2 IPS |
