HP HP ProBook 450 G8 Notebook PC
Geekbench AI Score
2594
Single Precision Score
2581
Half Precision Score
7291
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kripo |
| Upload Date | March 06 2025 06:02 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2019 Standard (64-bit) |
| Model | HP HP ProBook 450 G8 Notebook PC |
| Motherboard | HP 87E0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1813
337.1 IPS |
|
|
Image Classification (HP)
|
100% |
1715
318.9 IPS |
|
|
Image Classification (Q)
|
100% |
5063
941.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4311
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3007
3.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
11203
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (Q)
|
88% |
5071
406.5 IPS |
|
|
Face Detection (SP)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (Q)
|
100% |
11978
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4047
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4313
33.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
12916
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8246
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7762
9.98 IPS |
|
|
Style Transfer (Q)
|
98% |
34613
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7161
265.2 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1963
2.62 KIPS |
|
|
Text Classification (Q)
|
92% |
4032
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2215
38.2 IPS |
