HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2034
Single Precision Score
551
Half Precision Score
2942
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:58 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% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.4 IPS |
|
|
Image Classification (Q)
|
99% |
2561
477.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1951
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2195
2.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
12839
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
88% |
1327
106.4 IPS |
|
|
Face Detection (SP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (Q)
|
97% |
3245
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4162
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
710
5.47 IPS |
|
|
Depth Estimation (Q)
|
76% |
6276
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8461
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5414
6.96 IPS |
|
|
Style Transfer (Q)
|
98% |
14619
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2975
110.2 IPS |
|
|
Text Classification (SP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.1 IPS |
|
|
Text Classification (Q)
|
97% |
442
592.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (Q)
|
60% |
1460
32.6 IPS |
