HP HP EliteBook 830 G8 Notebook PC
Geekbench ML Score
11427
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 01:38 AM |
| Views | 13 |
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 | NVIDIA GeForce RTX 3080 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4980
931.8 IPS |
|
|
Image Classification (F16)
|
100% |
5437
1.02 KIPS |
|
|
Image Classification (I8)
|
100% |
3835
717.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5657
94.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5495
91.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4944
82.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
132903
160.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
136673
165.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
104515
126.6 IPS |
|
|
Object Detection (F32)
|
100% |
2955
220.6 IPS |
|
|
Object Detection (F16)
|
100% |
3405
254.2 IPS |
|
|
Object Detection (I8)
|
56% |
2991
223.3 IPS |
|
|
Face Detection (F32)
|
100% |
14794
175.9 IPS |
|
|
Face Detection (F16)
|
100% |
14929
177.5 IPS |
|
|
Face Detection (I8)
|
89% |
11742
139.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
43887
340.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
44857
347.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
29013
225.0 IPS |
|
|
Style Transfer (F32)
|
100% |
197056
259.2 IPS |
|
|
Style Transfer (F16)
|
100% |
193729
254.8 IPS |
|
|
Style Transfer (I8)
|
98% |
147826
194.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24208
864.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25294
903.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16478
588.5 IPS |
|
|
Text Classification (F32)
|
100% |
1672
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1732
2.49 KIPS |
|
|
Text Classification (I8)
|
98% |
1009
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1559
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1554
28.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1006
18.5 IPS |
