HP HP EliteBook 6 G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3718
Single Precision Score
5512
Half Precision Score
2758
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) 840M Graphics |
| 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% |
1269
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
1869
347.5 IPS |
|
|
Image Classification (Q)
|
100% |
1184
220.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1522
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17166
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31153
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12934
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (Q)
|
87% |
1163
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5208
61.9 IPS |
|
|
Face Detection (Q)
|
97% |
2547
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7818
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11548
89.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5980
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28202
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46642
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20571
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5240
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10639
392.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3454
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1057
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1733
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (Q)
|
70% |
823
15.4 IPS |
