EVGA INTERNATIONAL CO.,LTD E689 0.0
Geekbench AI Score
970
Single Precision Score
538
Half Precision Score
849
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | March 01 2025 02:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3570K |
| 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 i5-3570K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (Q)
|
96% |
677
126.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
513
8.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1412
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
1334
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
58% |
487
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.60 IPS |
|
|
Face Detection (Q)
|
96% |
1414
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1753
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
799
6.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
1494
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3485
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2877
3.70 IPS |
|
|
Style Transfer (Q)
|
87% |
2858
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
668
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
563
750.9 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.7 IPS |
|
|
Text Classification (Q)
|
97% |
280
375.2 IPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (Q)
|
68% |
766
14.8 IPS |
