HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
2512
Single Precision Score
2523
Half Precision Score
6457
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (Q)
|
100% |
3789
704.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3592
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
12956
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (Q)
|
88% |
3859
309.3 IPS |
|
|
Face Detection (SP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
8458
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3892
30.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
4215
32.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
10129
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11552
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11152
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36369
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2100
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6581
243.7 IPS |
|
|
Text Classification (SP)
|
100% |
667
889.7 IPS |
|
|
Text Classification (HP)
|
100% |
669
893.6 IPS |
|
|
Text Classification (Q)
|
92% |
2782
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (Q)
|
85% |
3287
57.5 IPS |
