HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
2455
Single Precision Score
655
Half Precision Score
3361
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 01:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 135H |
| 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% |
1484
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.4 IPS |
|
|
Image Classification (Q)
|
99% |
2862
533.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
2213
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4427
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3233
3.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
15912
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.3 IPS |
|
|
Object Detection (HP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
88% |
1493
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.25 IPS |
|
|
Face Detection (Q)
|
97% |
3467
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5078
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
817
6.29 IPS |
|
|
Depth Estimation (Q)
|
76% |
7011
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10706
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8026
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17201
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3454
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
547
729.6 IPS |
|
|
Text Classification (Q)
|
97% |
485
649.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
60% |
1750
39.0 IPS |
