HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2052
Single Precision Score
542
Half Precision Score
3002
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:40 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% |
1232
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.7 IPS |
|
|
Image Classification (Q)
|
99% |
2414
450.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1896
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3406
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2099
2.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
12812
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1274
101.0 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
88% |
1405
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
252
2.99 IPS |
|
|
Face Detection (Q)
|
97% |
3384
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4115
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
690
5.31 IPS |
|
|
Depth Estimation (Q)
|
76% |
6209
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8747
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5456
7.01 IPS |
|
|
Style Transfer (Q)
|
98% |
14862
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3113
115.3 IPS |
|
|
Text Classification (SP)
|
100% |
1157
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
475
634.0 IPS |
|
|
Text Classification (Q)
|
97% |
467
626.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (Q)
|
60% |
1594
35.6 IPS |
