HP HP EliteBook 840 G8 Notebook PC
Geekbench AI Score
1137
Single Precision Score
635
Half Precision Score
1917
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sauria |
| Upload Date | September 10 2024 02:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | HP HP EliteBook 840 G8 Notebook PC |
| Motherboard | HP 880D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
853
158.7 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.3 IPS |
|
|
Image Classification (Q)
|
99% |
2032
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1553
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1349
1.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
7548
8.85 IPS |
|
|
Object Detection (SP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
88% |
1155
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.66 IPS |
|
|
Face Detection (Q)
|
97% |
1889
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1896
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
858
6.61 IPS |
|
|
Depth Estimation (Q)
|
77% |
3158
25.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3633
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2826
3.63 IPS |
|
|
Style Transfer (Q)
|
98% |
6136
7.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2090
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
409
546.3 IPS |
|
|
Text Classification (Q)
|
97% |
436
583.7 IPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1128
25.2 IPS |
