HP HP ProBook 640 G3
Geekbench AI Score
761
Single Precision Score
401
Half Precision Score
912
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mahmoodisaeed |
| Upload Date | March 25 2026 05:24 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 640 G3 |
| Motherboard | HP 82AA |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.5 IPS |
|
|
Image Classification (Q)
|
96% |
723
135.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
570
9.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
995
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
783
0.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
1704
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
58% |
465
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
462
5.49 IPS |
|
|
Face Detection (Q)
|
96% |
1662
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1300
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
575
4.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
1754
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2562
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1512
1.94 IPS |
|
|
Style Transfer (Q)
|
87% |
2904
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
823
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
544
725.5 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.8 IPS |
|
|
Text Classification (Q)
|
97% |
232
310.6 IPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
68% |
760
14.7 IPS |
