HP HP EliteBook 6 G1a 16 inch Notebook AI PC
Geekbench AI Score
5230
Single Precision Score
5243
Half Precision Score
14520
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | FrankDhont |
| Upload Date | August 18 2025 09:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 6 G1a 16 inch Notebook AI PC |
| Motherboard | HP 8DFB |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3313
616.0 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.9 IPS |
|
|
Image Classification (Q)
|
100% |
9640
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3490
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9712
157.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6366
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
25207
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
3012
238.9 IPS |
|
|
Object Detection (HP)
|
100% |
2951
234.0 IPS |
|
|
Object Detection (Q)
|
88% |
9297
745.3 IPS |
|
|
Face Detection (SP)
|
100% |
6954
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
6756
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
22254
264.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8009
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8385
64.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24578
191.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17535
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17798
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
66510
85.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3886
143.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13237
490.2 IPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (Q)
|
92% |
5517
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7148
123.1 IPS |
