HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2021
Single Precision Score
526
Half Precision Score
2868
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 01:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1180
219.4 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.8 IPS |
|
|
Image Classification (Q)
|
99% |
2502
466.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1815
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3397
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
12414
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
88% |
1285
103.0 IPS |
|
|
Face Detection (SP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
235
2.79 IPS |
|
|
Face Detection (Q)
|
97% |
3333
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3932
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
689
5.31 IPS |
|
|
Depth Estimation (Q)
|
76% |
6115
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8461
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5354
6.88 IPS |
|
|
Style Transfer (Q)
|
98% |
13925
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1691
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1054
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2852
105.6 IPS |
|
|
Text Classification (SP)
|
100% |
1258
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
511
682.3 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
60% |
1534
34.2 IPS |
