HP HP ProBook 440 G7
Geekbench AI Score
1271
Single Precision Score
1981
Half Precision Score
1855
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | legacybenchmark |
| Upload Date | April 12 2025 06:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 G7 |
| Motherboard | HP 869D |
| Power Plan | HP Optimized (zalecany) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
909
169.0 IPS |
|
|
Image Classification (HP)
|
100% |
1420
264.0 IPS |
|
|
Image Classification (Q)
|
100% |
1286
239.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1606
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2062
2.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
2108
2.47 IPS |
|
|
Pose Estimation (Q)
|
97% |
2991
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
820
65.0 IPS |
|
|
Object Detection (HP)
|
99% |
1445
115.0 IPS |
|
|
Object Detection (Q)
|
88% |
1342
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
1867
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
2920
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2456
18.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4434
34.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
3791
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6107
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8801
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7446
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1919
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1815
67.2 IPS |
|
|
Text Classification (SP)
|
71% |
464
671.5 IPS |
|
|
Text Classification (HP)
|
71% |
564
816.6 IPS |
|
|
Text Classification (Q)
|
92% |
467
627.8 IPS |
|
|
Machine Translation (SP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (HP)
|
97% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
835
14.4 IPS |
