EVGA INTERNATIONAL CO.,LTD E689 0.0
Geekbench AI Score
943
Single Precision Score
514
Half Precision Score
809
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | March 22 2025 04:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3475S |
| 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 i5-3475S |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
496
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1374
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
1262
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
58% |
445
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
1443
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
608
7.23 IPS |
|
|
Face Detection (Q)
|
96% |
1381
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1728
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
770
5.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
1430
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3290
4.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2711
3.48 IPS |
|
|
Style Transfer (Q)
|
87% |
2729
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
578
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.7 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.1 IPS |
|
|
Text Classification (Q)
|
97% |
274
366.6 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (Q)
|
68% |
738
14.3 IPS |
