Generic
Geekbench AI Score
1646
Single Precision Score
858
Half Precision Score
2482
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 11:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | MSI B460M Pro4S/ac |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
96% |
2225
415.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
1450
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
6070
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
1216
96.5 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (Q)
|
58% |
1629
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (Q)
|
96% |
3952
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3471
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1276
9.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
5290
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6972
8.96 IPS |
|
|
Style Transfer (HP)
|
100% |
5451
7.01 IPS |
|
|
Style Transfer (Q)
|
87% |
7705
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1420
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
550
734.3 IPS |
|
|
Text Classification (Q)
|
97% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (Q)
|
68% |
1331
25.7 IPS |
