HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
1802
Single Precision Score
16097
Half Precision Score
38499
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | drodriguezwpb |
| Upload Date | October 07 2025 08:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook Ultra G1q 14 inch Notebook AI PC |
| Motherboard | HP 8CBE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (HP)
|
100% |
10154
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
17297
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8212
133.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21724
353.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6660
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
70902
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
246500
288.9 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
10695
848.3 IPS |
|
|
Object Detection (Q)
|
92% |
20556
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
1704
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
23978
284.9 IPS |
|
|
Face Detection (Q)
|
97% |
68839
820.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2272
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41513
319.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
104581
834.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16616
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53079
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
253340
326.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29458
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57214
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (Q)
|
95% |
3841
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (Q)
|
67% |
9374
182.4 IPS |
