Generic
Geekbench AI Score
1431
Single Precision Score
1430
Half Precision Score
1985
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | April 06 2025 09:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-6100 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z170M OC Formula |
| Power Plan | Ultimate Performance |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
811
150.9 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
100% |
1185
220.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1258
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1548
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1545
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
2702
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
87% |
1221
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
2283
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2278
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
3098
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2126
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2126
16.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3230
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4603
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4614
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
7662
9.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1647
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (Q)
|
91% |
926
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1668
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1656
28.5 IPS |
