HP HP EliteBook 830 G8 Notebook PC
Geekbench AI Score
14985
Single Precision Score
19392
Half Precision Score
10585
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 12:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5182
963.6 IPS |
|
|
Image Classification (HP)
|
99% |
6703
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
4187
778.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6629
107.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7373
119.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5727
93.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
149155
174.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
260201
303.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
113191
132.6 IPS |
|
|
Object Detection (SP)
|
100% |
6932
549.8 IPS |
|
|
Object Detection (HP)
|
100% |
8490
673.4 IPS |
|
|
Object Detection (Q)
|
85% |
5527
444.6 IPS |
|
|
Face Detection (SP)
|
100% |
16096
191.3 IPS |
|
|
Face Detection (HP)
|
100% |
18684
222.0 IPS |
|
|
Face Detection (Q)
|
97% |
13169
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
50553
389.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74923
577.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
32069
256.8 IPS |
|
|
Style Transfer (SP)
|
100% |
218499
280.9 IPS |
|
|
Style Transfer (HP)
|
100% |
406307
522.3 IPS |
|
|
Style Transfer (Q)
|
98% |
162646
209.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27073
999.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33645
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17297
640.5 IPS |
|
|
Text Classification (SP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2276
3.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (Q)
|
70% |
947
17.8 IPS |
