HP HP EliteDesk 800 G4 DM 35W (TAA)
Geekbench ML Score
804
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | July 25 2024 01:49 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 DM 35W (TAA) |
| Motherboard | HP 83E2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 3 |
| L1 Data Cache | 32.0 KB x 3 |
| L2 Cache | 256 KB x 3 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
353
66.0 IPS |
|
|
Image Classification (F16)
|
100% |
371
69.5 IPS |
|
|
Image Classification (I8)
|
100% |
342
64.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
546
9.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
542
9.05 IPS |
|
|
Image Segmentation (I8)
|
98% |
466
7.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
2197
2.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
2190
2.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
2037
2.47 IPS |
|
|
Object Detection (F32)
|
100% |
392
29.3 IPS |
|
|
Object Detection (F16)
|
100% |
392
29.2 IPS |
|
|
Object Detection (I8)
|
54% |
354
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
774
9.20 IPS |
|
|
Face Detection (F16)
|
100% |
774
9.20 IPS |
|
|
Face Detection (I8)
|
89% |
646
7.68 IPS |
|
|
Depth Estimation (F32)
|
100% |
1632
12.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1597
12.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
1435
11.1 IPS |
|
|
Style Transfer (F32)
|
100% |
5675
7.46 IPS |
|
|
Style Transfer (F16)
|
100% |
5669
7.46 IPS |
|
|
Style Transfer (I8)
|
98% |
4948
6.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1140
40.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1139
40.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
868
31.0 IPS |
|
|
Text Classification (F32)
|
100% |
370
531.3 IPS |
|
|
Text Classification (F16)
|
100% |
423
608.3 IPS |
|
|
Text Classification (I8)
|
98% |
243
349.0 IPS |
|
|
Machine Translation (F32)
|
100% |
408
7.51 IPS |
|
|
Machine Translation (F16)
|
100% |
405
7.45 IPS |
|
|
Machine Translation (I8)
|
70% |
275
5.06 IPS |
