HP HP EliteBook 865 16 inch G9 Notebook PC
Geekbench AI Score
1290
Single Precision Score
1162
Half Precision Score
704
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | MaxGrekhov |
| Upload Date | May 08 2025 04:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
704
131.0 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (Q)
|
99% |
339
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
305
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1852
2.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
1572
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (Q)
|
85% |
511
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
1301
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1819
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1815
14.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1036
9.71 IPS |
|
|
Style Transfer (SP)
|
100% |
2276
2.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2267
2.91 IPS |
|
|
Style Transfer (Q)
|
98% |
2966
3.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
843
31.2 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.2 IPS |
|
|
Text Classification (HP)
|
100% |
722
964.0 IPS |
|
|
Text Classification (Q)
|
92% |
309
414.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (Q)
|
58% |
349
8.19 IPS |
