HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2029
Single Precision Score
1990
Half Precision Score
5600
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:58 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
1258
233.9 IPS |
|
|
Image Classification (Q)
|
100% |
3725
692.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3681
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2918
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
9971
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (HP)
|
100% |
1129
89.5 IPS |
|
|
Object Detection (Q)
|
88% |
3475
278.6 IPS |
|
|
Face Detection (SP)
|
100% |
3788
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
8053
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3387
26.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
3433
26.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
9068
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7775
9.99 IPS |
|
|
Style Transfer (HP)
|
100% |
7245
9.31 IPS |
|
|
Style Transfer (Q)
|
98% |
30307
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5276
195.4 IPS |
|
|
Text Classification (SP)
|
100% |
523
697.7 IPS |
|
|
Text Classification (HP)
|
100% |
576
769.0 IPS |
|
|
Text Classification (Q)
|
92% |
2402
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1830
31.5 IPS |
|
|
Machine Translation (Q)
|
85% |
2277
39.8 IPS |
