HP HP EliteBook 6 G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2292
Single Precision Score
1289
Half Precision Score
6086
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | webers43 |
| Upload Date | July 07 2025 06:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 5 PRO 340 w/ Radeon 840M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise Insider Preview (64-bit) |
| Model | HP HP EliteBook 6 G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8E0D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 5 PRO 340 w/ Radeon 840M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1804
335.5 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
99% |
6170
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6370
103.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3049
3.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
14377
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1864
147.9 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
5554
446.4 IPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
8316
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4355
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1696
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9608
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6920
8.90 IPS |
|
|
Style Transfer (HP)
|
100% |
6425
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
18042
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3799
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1487
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1714
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2732
54.9 IPS |
