HP HP ProBook 445 14 inch G11 Notebook PC
Geekbench AI Score
1106
Single Precision Score
1081
Half Precision Score
1762
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 09:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7535U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 445 14 inch G11 Notebook PC |
| Motherboard | HP 8C79 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (Q)
|
100% |
2639
490.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3512
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1713
2.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
3577
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
87% |
744
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
2230
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1305
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1270
9.78 IPS |
|
|
Depth Estimation (Q)
|
81% |
2198
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2874
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2957
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
5853
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
748
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1265
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.3 IPS |
|
|
Text Classification (HP)
|
100% |
517
689.9 IPS |
|
|
Text Classification (Q)
|
91% |
401
539.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1049
18.1 IPS |
