HP HP EliteBook 830 G8 Notebook PC
Geekbench ML Score
1843
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 01:46 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP EliteBook 830 G8 Notebook PC |
| Motherboard | HP 880D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
961
179.9 IPS |
|
|
Image Classification (F16)
|
100% |
933
174.6 IPS |
|
|
Image Classification (I8)
|
100% |
636
118.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1344
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1325
22.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
978
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7997
9.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
8126
9.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
4577
5.54 IPS |
|
|
Object Detection (F32)
|
100% |
931
69.5 IPS |
|
|
Object Detection (F16)
|
100% |
944
70.5 IPS |
|
|
Object Detection (I8)
|
54% |
768
57.3 IPS |
|
|
Face Detection (F32)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (I8)
|
89% |
1175
14.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4452
34.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4340
33.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3202
24.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18033
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
18864
24.8 IPS |
|
|
Style Transfer (I8)
|
98% |
11822
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3043
108.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3053
109.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1296
46.3 IPS |
|
|
Text Classification (F32)
|
100% |
720
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
748
1.08 KIPS |
|
|
Text Classification (I8)
|
98% |
399
573.9 IPS |
|
|
Machine Translation (F32)
|
100% |
734
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
741
13.6 IPS |
|
|
Machine Translation (I8)
|
70% |
444
8.16 IPS |
