HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2054
Single Precision Score
977
Half Precision Score
3389
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 03:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP EliteBook 640 14 inch G11 Notebook PC |
| Motherboard | HP 8C86 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.2 IPS |
|
|
Image Classification (Q)
|
99% |
2558
477.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2602
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3689
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2347
2.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
13588
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
88% |
1449
116.2 IPS |
|
|
Face Detection (SP)
|
100% |
2023
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
3184
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4238
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1409
10.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5616
45.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8757
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5866
7.54 IPS |
|
|
Style Transfer (Q)
|
98% |
13262
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3029
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
1337
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
520
694.1 IPS |
|
|
Text Classification (Q)
|
97% |
1278
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
60% |
1666
37.2 IPS |
