Generic
Geekbench AI Score
1434
Single Precision Score
1426
Half Precision Score
1983
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | April 06 2025 09:27 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% |
808
150.3 IPS |
|
|
Image Classification (HP)
|
100% |
810
150.7 IPS |
|
|
Image Classification (Q)
|
100% |
1183
219.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1242
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1545
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
2686
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
801
63.5 IPS |
|
|
Object Detection (HP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
87% |
1233
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
3105
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2118
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2131
16.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3196
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4621
5.94 IPS |
|
|
Style Transfer (HP)
|
100% |
4621
5.94 IPS |
|
|
Style Transfer (Q)
|
98% |
7685
9.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
982
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1650
61.1 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (Q)
|
91% |
925
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1672
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1661
28.6 IPS |
