HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1925
Single Precision Score
912
Half Precision Score
3070
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 09:31 PM |
| Views | 2 |
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 | HP Optimized (Modern Standby) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1209
224.9 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.2 IPS |
|
|
Image Classification (Q)
|
99% |
2151
401.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2547
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3470
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
12533
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (Q)
|
88% |
1065
85.4 IPS |
|
|
Face Detection (SP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
972
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
2886
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3913
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1300
10.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5041
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8247
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5434
6.99 IPS |
|
|
Style Transfer (Q)
|
98% |
12831
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1561
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2625
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
537
717.4 IPS |
|
|
Text Classification (Q)
|
97% |
1393
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1490
33.2 IPS |
