HP HP EliteBook 845 14 inch G10 Notebook PC
Geekbench ML Score
4621
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 06:42 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 845 14 inch G10 Notebook PC |
| Motherboard | HP 8B6E |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2279
426.5 IPS |
|
|
Image Classification (F16)
|
100% |
1982
370.8 IPS |
|
|
Image Classification (I8)
|
100% |
1818
340.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1971
32.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1986
33.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1736
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
31285
37.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
28929
35.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
23543
28.5 IPS |
|
|
Object Detection (F32)
|
100% |
1817
135.6 IPS |
|
|
Object Detection (F16)
|
100% |
1769
132.1 IPS |
|
|
Object Detection (I8)
|
62% |
1723
128.6 IPS |
|
|
Face Detection (F32)
|
100% |
4917
58.5 IPS |
|
|
Face Detection (F16)
|
100% |
4879
58.0 IPS |
|
|
Face Detection (I8)
|
89% |
3792
45.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13705
106.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13453
104.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
11082
85.9 IPS |
|
|
Style Transfer (F32)
|
100% |
31012
40.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30604
40.3 IPS |
|
|
Style Transfer (I8)
|
98% |
25768
33.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5942
212.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5862
209.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4570
163.2 IPS |
|
|
Text Classification (F32)
|
100% |
1489
2.14 KIPS |
|
|
Text Classification (F16)
|
100% |
1608
2.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1276
1.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
2064
38.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2003
36.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1456
26.8 IPS |
