HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
4337
Single Precision Score
7029
Half Precision Score
3162
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | gputhread |
| Upload Date | March 03 2026 11:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb3xxx |
| Motherboard | HP 8DD0 |
| Power Plan | Balanced |
| 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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.6 IPS |
|
|
Image Classification (Q)
|
100% |
1552
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1475
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20867
24.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
42812
50.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14586
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
2352
186.5 IPS |
|
|
Object Detection (Q)
|
87% |
1396
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5822
69.2 IPS |
|
|
Face Detection (Q)
|
97% |
2379
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9442
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16029
123.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7211
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33690
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66104
85.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22363
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7263
268.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13356
493.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4180
154.8 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1256
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1065
20.0 IPS |
