HP HP EliteBook x360 1030 G4
Geekbench AI Score
887
Single Precision Score
444
Half Precision Score
1317
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jvinkovic |
| Upload Date | August 30 2025 08:05 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8365U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook x360 1030 G4 |
| Motherboard | HP 8637 |
| Power Plan | Balansirano |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
712
132.4 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
96% |
1069
199.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1447
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1165
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
850
0.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
2346
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
58% |
438
47.9 IPS |
|
|
Face Detection (SP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
96% |
2163
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1514
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
572
4.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
2113
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2743
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1966
2.53 IPS |
|
|
Style Transfer (Q)
|
87% |
4031
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
973
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
550
733.5 IPS |
|
|
Text Classification (HP)
|
100% |
359
479.6 IPS |
|
|
Text Classification (Q)
|
97% |
646
865.1 IPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (Q)
|
68% |
856
16.5 IPS |
