System manufacturer System Product Name
Geekbench AI Score
387
Single Precision Score
403
Half Precision Score
529
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | March 21 2025 06:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-2100 CPU @ 3.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus IV Extreme-Z |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
213
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
209
39.0 IPS |
|
|
Image Classification (Q)
|
100% |
220
41.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
330
5.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
411
6.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
335
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
726
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
87% |
350
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
756
8.99 IPS |
|
|
Face Detection (HP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (Q)
|
97% |
966
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
666
5.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
663
5.10 IPS |
|
|
Depth Estimation (Q)
|
81% |
908
7.18 IPS |
|
|
Style Transfer (SP)
|
100% |
1034
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1032
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2178
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
381
507.9 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.4 IPS |
|
|
Text Classification (Q)
|
91% |
221
297.4 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
100% |
406
7.00 IPS |
