EVGA Z170 classified 4-way - i3-6100 EVGA INTERNATIONAL CO.,LTD Default string
Geekbench AI Score
931
Single Precision Score
521
Half Precision Score
1108
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | May 02 2025 05:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-6100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA INTERNATIONAL CO.,LTD Default string |
| Motherboard | EVGA INTERNATIONAL CO.,LTD 151-SS-E179 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
650
121.0 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.2 IPS |
|
|
Image Classification (Q)
|
96% |
923
172.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
566
9.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1222
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
2023
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
58% |
563
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
1502
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
608
7.22 IPS |
|
|
Face Detection (Q)
|
96% |
1798
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1558
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
758
5.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
2159
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2954
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2145
2.76 IPS |
|
|
Style Transfer (Q)
|
87% |
4255
5.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
953
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
683
912.0 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.8 IPS |
|
|
Text Classification (Q)
|
97% |
298
398.8 IPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
68% |
1003
19.4 IPS |
