HP HP EliteBook 6 G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
4816
Single Precision Score
4744
Half Precision Score
13427
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sxumyyy4 |
| Upload Date | March 29 2026 06:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3106
577.6 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
100% |
8873
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3673
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3456
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9482
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4800
5.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5004
5.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
21710
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (HP)
|
100% |
2846
225.7 IPS |
|
|
Object Detection (Q)
|
88% |
9244
741.0 IPS |
|
|
Face Detection (SP)
|
100% |
7536
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
7346
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
21831
259.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7445
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7445
57.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22329
173.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15067
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15381
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
58876
75.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3434
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3324
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11884
440.1 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5234
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4580
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6320
108.9 IPS |
