9576594916818127171566 9576594916818127171566
Geekbench AI Score
501
Single Precision Score
263
Half Precision Score
710
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 11:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | 9576594916818127171566 9576594916818127171566 |
| Motherboard | 9586542648741937032510 B360HD3 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
363
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
107
20.0 IPS |
|
|
Image Classification (Q)
|
96% |
519
96.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
956
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
1598
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (Q)
|
58% |
388
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (HP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (Q)
|
96% |
1260
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
765
5.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
392
3.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
920
7.34 IPS |
|
|
Style Transfer (SP)
|
100% |
2714
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1319
1.70 IPS |
|
|
Style Transfer (Q)
|
87% |
3754
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
870
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
220
294.0 IPS |
|
|
Text Classification (HP)
|
100% |
205
273.4 IPS |
|
|
Text Classification (Q)
|
97% |
127
170.0 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (Q)
|
68% |
319
6.16 IPS |
