System manufacturer System Product Name
Geekbench AI Score
1048
Single Precision Score
1045
Half Precision Score
1506
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 20 2025 10:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3570K CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS V FORMULA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (Q)
|
100% |
975
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1168
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
934
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
2000
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (Q)
|
87% |
980
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
1797
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
2786
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1821
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1821
14.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
2509
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2636
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2644
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
6042
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1225
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
91% |
532
714.5 IPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
100% |
981
16.9 IPS |
