HP HP EliteBook 645 14 inch G11 Notebook PC
Geekbench ML Score
4292
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 645 14 inch G11 Notebook PC |
| Motherboard | HP 8C7A |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 Pro 7735U with Radeon Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1781
333.4 IPS |
|
|
Image Classification (F16)
|
100% |
1574
294.5 IPS |
|
|
Image Classification (I8)
|
100% |
1381
258.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2680
44.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2654
44.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2211
36.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23534
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24126
29.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
18826
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
1412
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
1413
105.5 IPS |
|
|
Object Detection (I8)
|
62% |
1294
96.6 IPS |
|
|
Face Detection (F32)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (F16)
|
100% |
3934
46.8 IPS |
|
|
Face Detection (I8)
|
89% |
3128
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11451
88.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11376
88.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
8670
67.2 IPS |
|
|
Style Transfer (F32)
|
100% |
34092
44.8 IPS |
|
|
Style Transfer (F16)
|
100% |
35430
46.6 IPS |
|
|
Style Transfer (I8)
|
98% |
31424
41.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7720
275.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7844
280.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5165
184.4 IPS |
|
|
Text Classification (F32)
|
100% |
1347
1.94 KIPS |
|
|
Text Classification (F16)
|
100% |
1354
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1008
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1931
35.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1942
35.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1257
23.1 IPS |
