HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2113
Single Precision Score
550
Half Precision Score
3024
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:12 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% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
99% |
2577
480.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1922
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3435
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2216
2.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
13105
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
88% |
1351
108.3 IPS |
|
|
Face Detection (SP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.07 IPS |
|
|
Face Detection (Q)
|
97% |
3427
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4249
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
751
5.79 IPS |
|
|
Depth Estimation (Q)
|
76% |
6597
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8645
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5515
7.09 IPS |
|
|
Style Transfer (Q)
|
98% |
14863
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2914
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
422
563.0 IPS |
|
|
Text Classification (Q)
|
97% |
522
699.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (Q)
|
60% |
1429
31.9 IPS |
