HP Victus by HP Laptop 16-d1xxx
Geekbench AI Score
2533
Single Precision Score
1001
Half Precision Score
4289
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mvbantas74 |
| Upload Date | May 08 2025 10:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Laptop 16-d1xxx |
| Motherboard | HP 8A25 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1788
332.5 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.3 IPS |
|
|
Image Classification (Q)
|
99% |
3242
604.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2093
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3952
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
12550
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
86% |
3821
307.1 IPS |
|
|
Face Detection (SP)
|
100% |
5062
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6090
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5112
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1380
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9376
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9608
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6702
8.62 IPS |
|
|
Style Transfer (Q)
|
98% |
16173
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2759
102.2 IPS |
|
|
Text Classification (SP)
|
100% |
1113
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
505
673.6 IPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.98 IPS |
|
|
Machine Translation (Q)
|
65% |
2120
42.6 IPS |
