HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
5299
Single Precision Score
8028
Half Precision Score
12416
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 640 14 inch G11 Notebook PC |
| Motherboard | HP 8C86 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3497
650.3 IPS |
|
|
Image Classification (HP)
|
100% |
5173
962.1 IPS |
|
|
Image Classification (Q)
|
100% |
7037
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3623
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7724
125.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10579
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11361
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10416
12.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
32521
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
3160
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
5011
397.5 IPS |
|
|
Object Detection (Q)
|
88% |
7936
636.0 IPS |
|
|
Face Detection (SP)
|
100% |
7382
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
14089
167.4 IPS |
|
|
Face Detection (Q)
|
100% |
21984
261.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11930
91.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20243
156.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
27366
217.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27958
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38142
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
81789
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8683
320.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13518
500.6 IPS |
|
|
Text Classification (SP)
|
71% |
1673
2.42 KIPS |
|
|
Text Classification (HP)
|
71% |
2260
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
2334
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1878
32.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2500
43.2 IPS |
|
|
Machine Translation (Q)
|
89% |
2920
50.8 IPS |
