HP HP EliteBook 865 16 inch G9 Notebook PC
Geekbench AI Score
2066
Single Precision Score
2197
Half Precision Score
3012
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | MaxGrekhov |
| Upload Date | May 08 2025 04:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 6850U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | HP HP EliteBook 865 16 inch G9 Notebook PC |
| Motherboard | HP 8990 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 6850U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
983
182.8 IPS |
|
|
Image Classification (HP)
|
100% |
992
184.5 IPS |
|
|
Image Classification (Q)
|
100% |
1698
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1831
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3910
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3789
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
8025
9.41 IPS |
|
|
Object Detection (SP)
|
100% |
965
76.5 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (Q)
|
87% |
3283
263.3 IPS |
|
|
Face Detection (SP)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
4597
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3136
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3164
24.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4373
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10916
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10639
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
11497
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2263
83.8 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1060
1.42 KIPS |
|
|
Text Classification (Q)
|
91% |
738
991.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1950
33.6 IPS |
