HP HP EliteBook 8 G1a 16 inch Notebook Next Gen AI PC
Geekbench AI Score
2794
Single Precision Score
1379
Half Precision Score
6725
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | wowen |
| Upload Date | September 22 2025 03:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 8 G1a 16 inch Notebook Next Gen AI PC |
| Motherboard | HP 8E17 |
| Power Plan | Segal Dragonfly Balanced Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (Q)
|
99% |
5051
942.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7812
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3518
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2875
3.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
16432
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
86% |
6215
499.5 IPS |
|
|
Face Detection (SP)
|
100% |
5144
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
7350
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5446
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2015
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14108
112.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8968
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6309
8.11 IPS |
|
|
Style Transfer (Q)
|
98% |
18392
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1873
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4573
169.3 IPS |
|
|
Text Classification (SP)
|
100% |
1910
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1898
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2029
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2837
57.0 IPS |
