HP HP ProBook 450 15.6 inch G10 Notebook PC
Geekbench AI Score
2809
Single Precision Score
3873
Half Precision Score
5986
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 12:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProBook 450 15.6 inch G10 Notebook PC |
| Motherboard | HP 8B7C |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
99% |
3163
590.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4095
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4959
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6897
8.05 IPS |
|
|
Pose Estimation (HP)
|
99% |
5162
6.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
23366
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (Q)
|
90% |
3740
299.0 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6586
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
10802
128.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6713
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10754
83.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
13381
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16845
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25382
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
50607
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4137
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7925
293.5 IPS |
|
|
Text Classification (SP)
|
71% |
632
914.8 IPS |
|
|
Text Classification (HP)
|
71% |
705
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
739
992.6 IPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1272
22.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1006
17.3 IPS |
