HP Victus by HP Gaming Laptop
Geekbench AI Score
2376
Single Precision Score
2391
Half Precision Score
1503
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop |
| Motherboard | HP 8BB1 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1048
195.0 IPS |
|
|
Image Classification (HP)
|
100% |
1080
200.8 IPS |
|
|
Image Classification (Q)
|
100% |
883
164.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1098
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8362
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
4599
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
1182
93.8 IPS |
|
|
Object Detection (HP)
|
98% |
1018
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
966
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
1631
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4594
35.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5156
39.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3193
25.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18620
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24117
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12006
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2781
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1189
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
327
436.0 IPS |
|
|
Text Classification (Q)
|
97% |
433
580.1 IPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
70% |
427
8.01 IPS |
