EVGA INTERNATIONAL CO.,LTD E689 0.0
Geekbench AI Score
405
Single Precision Score
256
Half Precision Score
363
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | March 22 2025 12:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-2120 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA INTERNATIONAL CO.,LTD E689 0.0 |
| Motherboard | EVGA INTERNATIONAL CO.,LTD EVGA E689 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2120 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
96% |
263
49.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
230
3.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
482
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
58% |
185
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.26 IPS |
|
|
Face Detection (Q)
|
96% |
612
7.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
656
5.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
382
2.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
581
4.63 IPS |
|
|
Style Transfer (SP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1037
1.33 IPS |
|
|
Style Transfer (Q)
|
87% |
1114
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
234
8.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
280
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
252
336.9 IPS |
|
|
Text Classification (HP)
|
100% |
160
214.1 IPS |
|
|
Text Classification (Q)
|
97% |
164
220.0 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (Q)
|
68% |
411
7.94 IPS |
