HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
2223
Single Precision Score
11109
Half Precision Score
21866
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | September 11 2024 09:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(TM) X Elite - X1E78100 - Qualcomm(TM) 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(TM) X Elite - X1E78100 - Qualcomm(TM) 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% |
739
137.4 IPS |
|
|
Image Classification (HP)
|
100% |
10986
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
17336
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7528
122.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9264
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
70153
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
237326
278.2 IPS |
|
|
Object Detection (SP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (HP)
|
100% |
10758
853.3 IPS |
|
|
Object Detection (Q)
|
82% |
15225
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
22152
263.2 IPS |
|
|
Face Detection (Q)
|
97% |
45594
543.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2680
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42363
326.4 IPS |
|
|
Depth Estimation (Q)
|
71% |
84929
706.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17250
22.2 IPS |
|
|
Style Transfer (HP)
|
23% |
2796
96.3 IPS |
|
|
Style Transfer (Q)
|
98% |
182804
235.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2443
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30608
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44308
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (Q)
|
95% |
3557
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (Q)
|
37% |
386
37.6 IPS |
