HP HP EliteBook 840 G5
Geekbench AI Score
985
Single Precision Score
990
Half Precision Score
568
Quantized Score
Geekbench AI 1.2.0 Pro for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | January 28 2025 08:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-8350U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | HP HP EliteBook 840 G5 |
| Motherboard | HP 83B2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8350U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
743
138.2 IPS |
|
|
Image Classification (Q)
|
99% |
377
70.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
459
7.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
933
1.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
836
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
85% |
399
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
871
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1120
8.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
63% |
738
6.92 IPS |
|
|
Style Transfer (SP)
|
100% |
1520
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1519
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1870
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
708
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
566
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
1113
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
341
457.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (Q)
|
58% |
262
6.15 IPS |
