HP HP EliteBook 8 G1a 14 inch Notebook AI PC
Geekbench AI Score
2687
Single Precision Score
1292
Half Precision Score
5809
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | September 10 2025 04:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 230 w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1a 14 inch Notebook AI PC |
| Motherboard | HP 8E15 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 230 w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
99% |
5455
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6666
108.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3664
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2968
3.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
15014
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1902
150.9 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
5420
435.6 IPS |
|
|
Face Detection (SP)
|
100% |
3797
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
7042
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1909
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5811
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9877
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8142
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16831
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4950
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1685
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2575
51.7 IPS |
