HP HP EliteBook 6 G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2802
Single Precision Score
1705
Half Precision Score
6890
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:21 AM |
| Views | 2 |
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 Pro (64-bit) |
| Model | HP HP EliteBook 6 G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8E0D |
| Power Plan | HP Optimized (Modern Standby) |
| 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% |
2201
409.3 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.5 IPS |
|
|
Image Classification (Q)
|
99% |
6327
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7259
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4332
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3602
4.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
17129
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (HP)
|
100% |
868
68.8 IPS |
|
|
Object Detection (Q)
|
86% |
6206
498.8 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
7577
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6080
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2391
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14007
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10310
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9127
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18218
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3652
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1113
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1932
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2098
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3622
72.8 IPS |
