HP HP EliteBook 830 13 inch G11 Notebook PC
Geekbench AI Score
2632
Single Precision Score
9016
Half Precision Score
13964
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 07:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 830 13 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| Power Plan | Balansirano |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
6440
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
8925
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3097
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3377
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
30337
35.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64139
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
100% |
5414
429.4 IPS |
|
|
Object Detection (Q)
|
88% |
9182
736.2 IPS |
|
|
Face Detection (SP)
|
100% |
4144
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
15446
183.5 IPS |
|
|
Face Detection (Q)
|
100% |
29224
347.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3974
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17201
132.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
32137
250.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9692
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48610
62.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87992
113.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14248
526.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27570
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1915
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
1920
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3960
68.2 IPS |
