HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
8198
Single Precision Score
12918
Half Precision Score
20230
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP EliteBook 640 14 inch G11 Notebook PC |
| Motherboard | HP 8C86 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5618
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
8645
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
10699
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4785
77.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12196
197.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18906
306.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23383
27.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
21885
25.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
74177
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
5351
424.4 IPS |
|
|
Object Detection (HP)
|
100% |
8805
698.4 IPS |
|
|
Object Detection (Q)
|
88% |
13528
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
9318
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
18459
219.3 IPS |
|
|
Face Detection (Q)
|
100% |
32778
389.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18392
141.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
32545
251.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
39204
304.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56003
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72876
93.7 IPS |
|
|
Style Transfer (Q)
|
98% |
173170
223.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9394
346.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14530
536.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23411
867.0 IPS |
|
|
Text Classification (SP)
|
71% |
1670
2.42 KIPS |
|
|
Text Classification (HP)
|
71% |
2417
3.50 KIPS |
|
|
Text Classification (Q)
|
92% |
2604
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2709
46.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4144
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4171
72.1 IPS |
