HP HP EliteBook 850 G6
Geekbench AI Score
741
Single Precision Score
737
Half Precision Score
533
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | wildercayden |
| Upload Date | January 11 2025 06:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-8365U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | HP HP EliteBook 850 G6 |
| Motherboard | HP 8549 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
99% |
337
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
479
7.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
753
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
85% |
362
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
793
9.43 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.30 IPS |
|
|
Face Detection (Q)
|
97% |
954
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
791
6.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
784
6.04 IPS |
|
|
Depth Estimation (Q)
|
63% |
667
6.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1028
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1027
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
1636
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1171
1.56 KIPS |
|
|
Text Classification (Q)
|
92% |
344
461.9 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
58% |
238
5.59 IPS |
