HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2063
Single Precision Score
535
Half Precision Score
2979
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 640 14 inch G11 Notebook PC |
| Motherboard | HP 8C86 |
| 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% |
1314
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
99% |
2596
484.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1909
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3391
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
12738
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
88% |
1445
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
246
2.93 IPS |
|
|
Face Detection (Q)
|
97% |
2912
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3951
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.82 IPS |
|
|
Depth Estimation (Q)
|
76% |
6335
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8584
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5473
7.04 IPS |
|
|
Style Transfer (Q)
|
98% |
14502
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3061
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
515
687.7 IPS |
|
|
Text Classification (Q)
|
97% |
448
599.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
60% |
1646
36.7 IPS |
