HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
5134
Single Precision Score
5390
Half Precision Score
14033
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 10 2024 02:47 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 375 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D08 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 375 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3570
663.9 IPS |
|
|
Image Classification (HP)
|
100% |
3456
642.6 IPS |
|
|
Image Classification (Q)
|
100% |
9053
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8378
135.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8404
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
8365
9.76 IPS |
|
|
Pose Estimation (Q)
|
98% |
32054
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3412
270.7 IPS |
|
|
Object Detection (HP)
|
100% |
3435
272.5 IPS |
|
|
Object Detection (Q)
|
88% |
9597
769.3 IPS |
|
|
Face Detection (SP)
|
100% |
8407
99.9 IPS |
|
|
Face Detection (HP)
|
100% |
8505
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
27145
322.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9807
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9446
72.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
24167
188.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22694
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83546
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4544
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4515
166.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15004
555.7 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2869
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
3512
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4398
75.8 IPS |
