HP HP ProBook 445 14 inch G11 Notebook PC
Geekbench AI Score
775
Single Precision Score
762
Half Precision Score
1254
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 06:16 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% |
387
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.7 IPS |
|
|
Image Classification (Q)
|
100% |
629
116.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
980
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
959
1.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
1983
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
87% |
919
73.7 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
2697
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1421
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1345
10.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
2552
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3216
4.13 IPS |
|
|
Style Transfer (HP)
|
100% |
2806
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
5935
7.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
656
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1193
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.5 IPS |
|
|
Text Classification (HP)
|
100% |
447
597.1 IPS |
|
|
Text Classification (Q)
|
91% |
457
614.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1104
19.0 IPS |
