Generic
Geekbench AI Score
1427
Single Precision Score
1428
Half Precision Score
1988
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | April 06 2025 09:16 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% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
100% |
1179
219.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1258
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1540
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1542
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
2681
3.14 IPS |
|
|
Object Detection (SP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (HP)
|
100% |
797
63.3 IPS |
|
|
Object Detection (Q)
|
87% |
1240
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
3072
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2104
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2118
16.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
3192
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4609
5.93 IPS |
|
|
Style Transfer (HP)
|
100% |
4605
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
7681
9.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1627
60.3 IPS |
|
|
Text Classification (SP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1071
1.43 KIPS |
|
|
Text Classification (Q)
|
91% |
952
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1672
28.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1683
29.0 IPS |
