HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
2061
Single Precision Score
555
Half Precision Score
2992
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:49 PM |
| Views | 1 |
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 840 14 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| 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% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
99% |
2449
456.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1932
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3382
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
11973
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1336
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.2 IPS |
|
|
Object Detection (Q)
|
88% |
1328
106.5 IPS |
|
|
Face Detection (SP)
|
100% |
2588
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (Q)
|
97% |
3350
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4141
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
76% |
6347
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8702
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5499
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
15293
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2697
99.9 IPS |
|
|
Text Classification (SP)
|
100% |
1134
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
446
594.8 IPS |
|
|
Text Classification (Q)
|
97% |
529
708.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
60% |
1649
36.8 IPS |
