HP HP EliteBook 6 G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
4113
Single Precision Score
5696
Half Precision Score
3311
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) 840M Graphics |
| 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% |
1664
309.5 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (Q)
|
100% |
1613
300.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1969
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15001
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28489
33.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12906
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
100% |
1648
130.8 IPS |
|
|
Object Detection (Q)
|
87% |
1376
110.5 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
97% |
3211
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12193
93.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7042
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28237
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46668
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22505
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6566
242.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10894
402.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4689
173.6 IPS |
|
|
Text Classification (SP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2081
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1053
19.8 IPS |
