HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2212
Single Precision Score
2207
Half Precision Score
5980
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (Q)
|
100% |
3777
702.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3451
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3100
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2757
3.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
10295
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
100% |
1333
105.8 IPS |
|
|
Object Detection (Q)
|
88% |
3602
288.7 IPS |
|
|
Face Detection (SP)
|
100% |
3895
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
8496
101.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4052
31.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
3896
30.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
8720
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8571
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8490
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29877
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6411
237.4 IPS |
|
|
Text Classification (SP)
|
100% |
598
797.7 IPS |
|
|
Text Classification (HP)
|
100% |
620
828.1 IPS |
|
|
Text Classification (Q)
|
92% |
2546
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2118
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2042
35.2 IPS |
|
|
Machine Translation (Q)
|
85% |
3351
58.6 IPS |
