HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
7985
Single Precision Score
12097
Half Precision Score
18208
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:46 AM |
| Views | 2 |
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% |
5318
989.0 IPS |
|
|
Image Classification (HP)
|
100% |
7795
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
9402
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4499
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10716
173.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16156
261.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23706
27.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
21856
25.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
66286
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
5064
401.6 IPS |
|
|
Object Detection (HP)
|
100% |
8099
642.4 IPS |
|
|
Object Detection (Q)
|
88% |
11273
903.4 IPS |
|
|
Face Detection (SP)
|
100% |
9277
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
18294
217.4 IPS |
|
|
Face Detection (Q)
|
100% |
30340
360.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19709
151.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
32341
250.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
38273
297.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53251
68.5 IPS |
|
|
Style Transfer (HP)
|
100% |
71467
91.9 IPS |
|
|
Style Transfer (Q)
|
98% |
170982
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8514
314.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14315
528.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22868
846.9 IPS |
|
|
Text Classification (SP)
|
71% |
1783
2.58 KIPS |
|
|
Text Classification (HP)
|
71% |
2409
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
2518
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3114
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3088
53.2 IPS |
