HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2084
Single Precision Score
545
Half Precision Score
3030
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:43 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% |
1333
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.1 IPS |
|
|
Image Classification (Q)
|
99% |
2562
477.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
2034
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3439
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2168
2.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
12901
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
88% |
1321
105.9 IPS |
|
|
Face Detection (SP)
|
100% |
2638
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
242
2.87 IPS |
|
|
Face Detection (Q)
|
97% |
3279
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4070
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
646
4.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
6647
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8618
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5482
7.05 IPS |
|
|
Style Transfer (Q)
|
98% |
14825
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1078
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3005
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.8 IPS |
|
|
Text Classification (Q)
|
97% |
498
667.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
60% |
1520
33.9 IPS |
