System manufacturer System Product Name
Geekbench AI Score
1331
Single Precision Score
698
Half Precision Score
1423
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. H110M-K |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
849
158.0 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
1134
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
908
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (Q)
|
87% |
4096
4.84 IPS |
|
|
Object Detection (SP)
|
100% |
790
62.7 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
86% |
841
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.12 IPS |
|
|
Face Detection (Q)
|
96% |
1851
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2617
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1002
7.72 IPS |
|
|
Depth Estimation (Q)
|
77% |
2300
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5804
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4529
5.82 IPS |
|
|
Style Transfer (Q)
|
87% |
6667
8.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1399
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.3 IPS |
|
|
Text Classification (Q)
|
97% |
290
388.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (Q)
|
60% |
838
18.7 IPS |
