HP HP EliteBook 865 16 inch G9 Notebook PC
Geekbench AI Score
1781
Single Precision Score
522
Half Precision Score
2182
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | MaxGrekhov |
| Upload Date | May 08 2025 04:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 6850U |
| 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% |
862
160.2 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
94% |
1870
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
958
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3854
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
7270
8.60 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
58% |
1341
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
252
2.99 IPS |
|
|
Face Detection (Q)
|
96% |
4337
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4715
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
744
5.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
4045
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9590
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7579
9.74 IPS |
|
|
Style Transfer (Q)
|
87% |
9599
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1271
47.1 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
251
334.6 IPS |
|
|
Text Classification (Q)
|
97% |
407
544.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
68% |
1610
31.1 IPS |
