HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2103
Single Precision Score
554
Half Precision Score
3013
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:32 AM |
| 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% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
99% |
2624
489.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
996
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1983
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3495
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2129
2.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
13044
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
88% |
1320
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (Q)
|
97% |
3080
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4255
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
692
5.33 IPS |
|
|
Depth Estimation (Q)
|
76% |
6306
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8377
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5407
6.95 IPS |
|
|
Style Transfer (Q)
|
98% |
15048
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2940
108.9 IPS |
|
|
Text Classification (SP)
|
100% |
1242
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
506
675.7 IPS |
|
|
Text Classification (Q)
|
97% |
493
660.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
60% |
1626
36.3 IPS |
