HP Victus by HP Gaming Laptop 16-s0xxx
Geekbench AI Score
6443
Single Precision Score
9034
Half Precision Score
4938
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 06:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
2576
479.1 IPS |
|
|
Image Classification (HP)
|
100% |
3879
721.3 IPS |
|
|
Image Classification (Q)
|
100% |
2451
455.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3355
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3618
58.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2701
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34368
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
59439
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
24687
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.8 IPS |
|
|
Object Detection (HP)
|
100% |
2917
231.4 IPS |
|
|
Object Detection (Q)
|
87% |
2033
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
5106
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
8819
104.8 IPS |
|
|
Face Detection (Q)
|
97% |
4274
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14188
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21694
167.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11528
92.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56931
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
89579
115.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39382
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11608
428.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16322
602.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7780
288.1 IPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1299
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1324
24.8 IPS |
