HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2299
Single Precision Score
1199
Half Precision Score
4612
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 07:02 AM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 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 370 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
99% |
3927
732.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
3131
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4283
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
25203
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
88% |
1717
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
2396
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
5359
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4639
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1596
12.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7292
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10110
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10006
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21609
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3168
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.1 IPS |
|
|
Text Classification (Q)
|
97% |
1564
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1959
43.7 IPS |
