HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1932
Single Precision Score
485
Half Precision Score
2807
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:22 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% |
1062
197.6 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (Q)
|
99% |
2218
413.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1833
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1947
2.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
12273
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
88% |
1368
109.7 IPS |
|
|
Face Detection (SP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
212
2.51 IPS |
|
|
Face Detection (Q)
|
97% |
3193
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4031
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
623
4.80 IPS |
|
|
Depth Estimation (Q)
|
76% |
5985
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8080
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
4598
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
14452
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2770
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
414
552.0 IPS |
|
|
Text Classification (Q)
|
97% |
390
522.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
60% |
1496
33.4 IPS |
