HP Victus by HP Gaming Laptop 15-fa0xxx
Geekbench AI Score
2157
Single Precision Score
527
Half Precision Score
2832
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ronald_Aprianto |
| Upload Date | September 27 2024 03:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa0xxx |
| Motherboard | HP 8A4F |
| Power Plan | High performance |
| 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% |
1142
212.3 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
99% |
2278
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3992
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2838
3.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
12997
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
88% |
1328
106.5 IPS |
|
|
Face Detection (SP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
227
2.70 IPS |
|
|
Face Detection (Q)
|
97% |
3148
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4411
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
695
5.35 IPS |
|
|
Depth Estimation (Q)
|
76% |
6121
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9815
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6858
8.82 IPS |
|
|
Style Transfer (Q)
|
98% |
15062
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1312
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2872
106.3 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
328
438.1 IPS |
|
|
Text Classification (Q)
|
97% |
428
573.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
60% |
1416
31.6 IPS |
