HP HP EliteBook x360 1030 G4
Geekbench AI Score
765
Single Precision Score
926
Half Precision Score
636
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jvinkovic |
| Upload Date | August 30 2025 08:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
100% |
374
69.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
370
6.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
1730
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2763
3.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
1591
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
98% |
419
33.3 IPS |
|
|
Object Detection (Q)
|
86% |
382
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
626
7.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1335
10.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
1729
13.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1190
9.53 IPS |
|
|
Style Transfer (SP)
|
100% |
4683
6.02 IPS |
|
|
Style Transfer (HP)
|
100% |
7325
9.42 IPS |
|
|
Style Transfer (Q)
|
98% |
4037
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
754
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
362
482.6 IPS |
|
|
Text Classification (HP)
|
100% |
239
319.4 IPS |
|
|
Text Classification (Q)
|
97% |
243
325.9 IPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
70% |
236
4.43 IPS |
