HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench ML Score
6816
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 04:58 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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2818
527.3 IPS |
|
|
Image Classification (F16)
|
100% |
1933
361.6 IPS |
|
|
Image Classification (I8)
|
100% |
1911
357.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4475
74.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4576
76.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3705
61.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
46027
55.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
47967
58.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
35497
43.0 IPS |
|
|
Object Detection (F32)
|
100% |
1714
128.0 IPS |
|
|
Object Detection (F16)
|
100% |
1701
127.0 IPS |
|
|
Object Detection (I8)
|
62% |
1686
125.8 IPS |
|
|
Face Detection (F32)
|
100% |
6267
74.5 IPS |
|
|
Face Detection (F16)
|
100% |
6324
75.2 IPS |
|
|
Face Detection (I8)
|
89% |
5003
59.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
17030
132.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
16744
129.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
13953
108.2 IPS |
|
|
Style Transfer (F32)
|
100% |
84310
110.9 IPS |
|
|
Style Transfer (F16)
|
100% |
71479
94.0 IPS |
|
|
Style Transfer (I8)
|
98% |
55796
73.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10579
377.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14156
505.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7666
273.8 IPS |
|
|
Text Classification (F32)
|
100% |
2368
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
2429
3.49 KIPS |
|
|
Text Classification (I8)
|
98% |
1760
2.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
2651
48.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2650
48.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1545
28.4 IPS |
