HP HP EliteBook 650 15.6 inch G10 Notebook PC
Geekbench AI Score
777
Single Precision Score
747
Half Precision Score
518
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | jhaan |
| Upload Date | November 19 2024 08:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1365U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | HP HP EliteBook 650 15.6 inch G10 Notebook PC |
| Motherboard | HP 8B8C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.8 IPS |
|
|
Image Classification (Q)
|
99% |
337
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
444
7.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1026
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
925
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
85% |
375
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
924
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
999
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.36 IPS |
|
|
Depth Estimation (Q)
|
63% |
725
6.80 IPS |
|
|
Style Transfer (SP)
|
100% |
1391
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1385
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2043
2.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
316
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
496
662.6 IPS |
|
|
Text Classification (HP)
|
100% |
491
655.7 IPS |
|
|
Text Classification (Q)
|
92% |
223
299.8 IPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (Q)
|
58% |
282
6.62 IPS |
