HP HP ProBook 650 G4
Geekbench AI Score
1400
Single Precision Score
690
Half Precision Score
2002
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 10:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 650 G4 |
| Motherboard | HP 8416 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.2 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1402
1.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
3417
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (Q)
|
58% |
1240
135.5 IPS |
|
|
Face Detection (SP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.45 IPS |
|
|
Face Detection (Q)
|
96% |
3180
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2919
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
4079
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5046
6.49 IPS |
|
|
Style Transfer (HP)
|
100% |
3541
4.55 IPS |
|
|
Style Transfer (Q)
|
87% |
6528
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1378
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.5 IPS |
|
|
Text Classification (Q)
|
97% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
68% |
1188
23.0 IPS |
