HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
7394
Single Precision Score
12087
Half Precision Score
18253
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP ProBook 440 14 inch G11 Notebook PC |
| Motherboard | HP 8C83 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5251
976.4 IPS |
|
|
Image Classification (HP)
|
100% |
8186
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
9566
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10795
175.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15820
256.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20708
24.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
17798
20.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63581
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
4810
381.5 IPS |
|
|
Object Detection (HP)
|
100% |
8562
679.1 IPS |
|
|
Object Detection (Q)
|
88% |
12746
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
8369
99.4 IPS |
|
|
Face Detection (HP)
|
100% |
17477
207.7 IPS |
|
|
Face Detection (Q)
|
100% |
28946
343.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15883
122.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
31893
246.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
38414
298.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49065
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
64809
83.3 IPS |
|
|
Style Transfer (Q)
|
98% |
149971
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8227
303.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14274
527.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20471
758.1 IPS |
|
|
Text Classification (SP)
|
71% |
1631
2.36 KIPS |
|
|
Text Classification (HP)
|
71% |
2363
3.42 KIPS |
|
|
Text Classification (Q)
|
92% |
2450
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4059
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4004
69.2 IPS |
