HP Victus by HP Gaming Laptop 15-fa0xxx
Geekbench AI Score
3512
Single Precision Score
4802
Half Precision Score
7779
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ronald_Aprianto |
| Upload Date | August 21 2024 04:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3207
596.4 IPS |
|
|
Image Classification (Q)
|
99% |
4303
802.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3205
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5075
82.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6151
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7236
8.44 IPS |
|
|
Pose Estimation (HP)
|
99% |
5312
6.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
24254
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2029
161.0 IPS |
|
|
Object Detection (HP)
|
100% |
2998
237.8 IPS |
|
|
Object Detection (Q)
|
90% |
4798
383.6 IPS |
|
|
Face Detection (SP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
9127
108.4 IPS |
|
|
Face Detection (Q)
|
100% |
14139
168.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7597
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11929
92.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
16994
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18763
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27213
35.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53615
69.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3061
113.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9899
366.6 IPS |
|
|
Text Classification (SP)
|
71% |
1002
1.45 KIPS |
|
|
Text Classification (HP)
|
71% |
1167
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1160
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1556
26.9 IPS |
|
|
Machine Translation (Q)
|
89% |
1781
31.0 IPS |
