HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
8434
Single Precision Score
12358
Half Precision Score
18699
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 12:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 1040 14 inch G11 Notebook PC |
| Motherboard | HP 8C52 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5862
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
7969
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
9301
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5029
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11737
190.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16283
264.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24381
28.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
21498
25.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
72318
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (HP)
|
100% |
8017
635.9 IPS |
|
|
Object Detection (Q)
|
88% |
10650
853.5 IPS |
|
|
Face Detection (SP)
|
100% |
10520
125.0 IPS |
|
|
Face Detection (HP)
|
100% |
21013
249.7 IPS |
|
|
Face Detection (Q)
|
100% |
32935
391.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19117
147.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
30220
233.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
43563
345.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54058
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
69576
89.4 IPS |
|
|
Style Transfer (Q)
|
98% |
171414
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9684
357.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15250
563.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22019
815.4 IPS |
|
|
Text Classification (SP)
|
71% |
1954
2.83 KIPS |
|
|
Text Classification (HP)
|
71% |
2567
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2982
51.6 IPS |
|
|
Machine Translation (Q)
|
89% |
3315
57.6 IPS |
