HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2218
Single Precision Score
2218
Half Precision Score
6081
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (Q)
|
100% |
3752
697.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3756
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
9811
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
88% |
3583
287.2 IPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
8112
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3951
30.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
3969
30.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
9831
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8600
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8397
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30033
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5939
220.0 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.8 IPS |
|
|
Text Classification (HP)
|
100% |
631
842.6 IPS |
|
|
Text Classification (Q)
|
92% |
2919
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (Q)
|
85% |
3364
58.9 IPS |
