HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench AI Score
6295
Single Precision Score
8587
Half Precision Score
4672
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 05:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb2xxx |
| Motherboard | HP 8C2F |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
3270
608.1 IPS |
|
|
Image Classification (Q)
|
100% |
2165
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3418
55.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3486
56.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2640
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34338
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56347
65.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25471
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.2 IPS |
|
|
Object Detection (HP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (Q)
|
89% |
1693
135.5 IPS |
|
|
Face Detection (SP)
|
100% |
4636
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
7793
92.6 IPS |
|
|
Face Detection (Q)
|
97% |
3570
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13741
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18642
143.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
10508
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51848
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
80982
104.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37886
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9282
342.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15740
581.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7474
276.8 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1584
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2763
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2883
49.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1196
26.7 IPS |
