HP HP ProBook 4 G1ah 14 inch Notebook PC
Geekbench AI Score
1722
Single Precision Score
874
Half Precision Score
3948
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 220 w/ Radeon 740M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HP HP ProBook 4 G1ah 14 inch Notebook PC |
| Motherboard | HP 8DF7 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 220 w/ Radeon 740M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 124 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (Q)
|
99% |
3933
733.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
3966
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2609
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
10250
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
3275
263.2 IPS |
|
|
Face Detection (SP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
5277
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3266
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1304
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
4545
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5855
7.53 IPS |
|
|
Style Transfer (HP)
|
100% |
5760
7.41 IPS |
|
|
Style Transfer (Q)
|
98% |
11081
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3316
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
424
565.9 IPS |
|
|
Text Classification (Q)
|
97% |
1052
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (Q)
|
65% |
1896
38.1 IPS |
