HP HP EliteBook 8 G1a 14 inch Notebook AI PC
Geekbench AI Score
3519
Single Precision Score
3468
Half Precision Score
10465
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | September 10 2025 04:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 230 w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1a 14 inch Notebook AI PC |
| Motherboard | HP 8E15 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 230 w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
2162
402.0 IPS |
|
|
Image Classification (Q)
|
100% |
7203
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6847
111.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3993
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4016
4.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
18333
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2106
167.1 IPS |
|
|
Object Detection (HP)
|
100% |
2029
160.9 IPS |
|
|
Object Detection (Q)
|
88% |
7094
568.7 IPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (Q)
|
100% |
16809
199.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5858
45.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
18317
142.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11666
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11499
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45647
58.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2497
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2509
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9268
343.2 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
4113
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4585
79.0 IPS |
