HP HP EliteBook 845 14 inch G10 Notebook PC
Geekbench AI Score
5073
Single Precision Score
4873
Half Precision Score
14269
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 09:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 845 14 inch G10 Notebook PC |
| Motherboard | HP 8B6E |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3306
614.8 IPS |
|
|
Image Classification (HP)
|
100% |
3261
606.5 IPS |
|
|
Image Classification (Q)
|
100% |
9441
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3579
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10114
164.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6203
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6270
7.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
25159
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2931
232.5 IPS |
|
|
Object Detection (HP)
|
100% |
2906
230.5 IPS |
|
|
Object Detection (Q)
|
88% |
9458
758.2 IPS |
|
|
Face Detection (SP)
|
100% |
6937
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
7052
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
22942
272.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7817
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7950
61.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
22561
175.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16981
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17151
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
64734
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3786
139.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12667
469.1 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
5171
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4904
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7019
120.9 IPS |
