HP HP ElIteBook 845 G11
Geekbench AI Score
5958
Single Precision Score
5989
Half Precision Score
17247
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 10 2025 06:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HP HP ElIteBook 845 G11 |
| Motherboard | HP 8C6E |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3986
741.3 IPS |
|
|
Image Classification (HP)
|
100% |
4028
749.1 IPS |
|
|
Image Classification (Q)
|
100% |
11562
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4487
72.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12140
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7224
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
7050
8.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
28554
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
3370
267.3 IPS |
|
|
Object Detection (HP)
|
100% |
3323
263.6 IPS |
|
|
Object Detection (Q)
|
88% |
11750
941.9 IPS |
|
|
Face Detection (SP)
|
100% |
7532
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
7667
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
28016
332.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9294
71.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9356
72.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
28407
221.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19580
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19785
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78785
101.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4440
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15640
579.2 IPS |
|
|
Text Classification (SP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
92% |
6021
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5726
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5796
99.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8376
144.3 IPS |
