HP Victus by HP Laptop 16-e1xxx
Geekbench AI Score
10332
Single Precision Score
18801
Half Precision Score
7312
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | minhle |
| Upload Date | January 27 2025 10:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Laptop 16-e1xxx |
| Motherboard | HP 8A22 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4499
836.6 IPS |
|
|
Image Classification (HP)
|
99% |
8471
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
3649
680.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6263
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9884
160.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5219
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46297
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153785
179.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
38432
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
5309
421.1 IPS |
|
|
Object Detection (HP)
|
100% |
10255
813.5 IPS |
|
|
Object Detection (Q)
|
84% |
4225
340.8 IPS |
|
|
Face Detection (SP)
|
100% |
10862
129.1 IPS |
|
|
Face Detection (HP)
|
100% |
18049
214.5 IPS |
|
|
Face Detection (Q)
|
97% |
8895
106.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24608
189.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52913
408.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
17947
143.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81001
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
210147
270.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64465
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15371
567.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27304
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9448
349.9 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2880
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1181
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2649
45.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1231
23.1 IPS |
