HP Victus by HP Gaming Laptop 16-s1xxx
Geekbench AI Score
17291
Single Precision Score
29382
Half Precision Score
13657
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | June 13 2025 03:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-s1xxx |
| Motherboard | HP 8C9C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6872
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11806
2.20 KIPS |
|
|
Image Classification (Q)
|
99% |
6296
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12612
204.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17778
288.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11042
179.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
84466
98.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
244660
285.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
76093
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
8511
675.1 IPS |
|
|
Object Detection (HP)
|
100% |
15414
1.22 KIPS |
|
|
Object Detection (Q)
|
84% |
7671
618.7 IPS |
|
|
Face Detection (SP)
|
100% |
20609
244.9 IPS |
|
|
Face Detection (HP)
|
100% |
32888
390.8 IPS |
|
|
Face Detection (Q)
|
97% |
18894
225.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41226
317.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
79945
615.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
33819
270.6 IPS |
|
|
Style Transfer (SP)
|
100% |
139168
178.9 IPS |
|
|
Style Transfer (HP)
|
100% |
343577
441.7 IPS |
|
|
Style Transfer (Q)
|
98% |
125794
162.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27153
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44595
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20813
770.7 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3544
4.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1866
35.0 IPS |
