Upload Date | February 18 2025 05:01 PM |
Views | 6 |
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 |
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 |