HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench ML Score
3456
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 04:56 PM |
| Views | 9 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1241
232.3 IPS |
|
|
Image Classification (F16)
|
100% |
1217
227.8 IPS |
|
|
Image Classification (I8)
|
99% |
3565
667.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2548
42.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7242
8.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
6013
7.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
28645
34.7 IPS |
|
|
Object Detection (F32)
|
100% |
1803
134.6 IPS |
|
|
Object Detection (F16)
|
100% |
1823
136.1 IPS |
|
|
Object Detection (I8)
|
62% |
1764
131.7 IPS |
|
|
Face Detection (F32)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (F16)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (I8)
|
89% |
5245
62.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6066
47.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6218
48.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
14819
114.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15827
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
15996
21.0 IPS |
|
|
Style Transfer (I8)
|
98% |
28313
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2698
96.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2762
98.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3974
141.9 IPS |
|
|
Text Classification (F32)
|
100% |
1356
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1345
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1167
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2044
37.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2294
42.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3145
57.9 IPS |
