HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench ML Score
6941
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 05:01 PM |
| Views | 8 |
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% |
2652
496.2 IPS |
|
|
Image Classification (F16)
|
100% |
3285
614.8 IPS |
|
|
Image Classification (I8)
|
100% |
1781
333.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4407
73.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
4497
75.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3678
61.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
48375
58.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
49053
59.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
35970
43.6 IPS |
|
|
Object Detection (F32)
|
100% |
1817
135.7 IPS |
|
|
Object Detection (F16)
|
100% |
1649
123.1 IPS |
|
|
Object Detection (I8)
|
62% |
1585
118.3 IPS |
|
|
Face Detection (F32)
|
100% |
6248
74.3 IPS |
|
|
Face Detection (F16)
|
100% |
6251
74.3 IPS |
|
|
Face Detection (I8)
|
89% |
4942
58.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
17263
133.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17076
132.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
13988
108.5 IPS |
|
|
Style Transfer (F32)
|
100% |
84382
111.0 IPS |
|
|
Style Transfer (F16)
|
100% |
71943
94.6 IPS |
|
|
Style Transfer (I8)
|
98% |
55131
72.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10762
384.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10751
384.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9323
332.9 IPS |
|
|
Text Classification (F32)
|
100% |
2429
3.49 KIPS |
|
|
Text Classification (F16)
|
100% |
2423
3.48 KIPS |
|
|
Text Classification (I8)
|
98% |
1812
2.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2647
48.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2778
51.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1698
31.2 IPS |
