HP HP 250 G8 Notebook PC
Geekbench AI Score
2286
Single Precision Score
2409
Half Precision Score
1460
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | July 20 2025 08:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP 250 G8 Notebook PC |
| Motherboard | HP 881D |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1026
190.9 IPS |
|
|
Image Classification (HP)
|
100% |
1048
195.0 IPS |
|
|
Image Classification (Q)
|
100% |
874
162.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1003
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8144
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
9916
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
4708
5.51 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
98% |
1067
84.9 IPS |
|
|
Object Detection (Q)
|
86% |
1005
80.8 IPS |
|
|
Face Detection (SP)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
1544
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4688
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5413
41.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3323
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19231
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11962
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3008
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1207
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
663
884.4 IPS |
|
|
Text Classification (HP)
|
100% |
350
467.0 IPS |
|
|
Text Classification (Q)
|
97% |
364
488.0 IPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
70% |
395
7.41 IPS |
