System manufacturer System Product Name
Geekbench AI Score
893
Single Precision Score
893
Half Precision Score
1312
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | zikkzakk |
| Upload Date | December 16 2024 09:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8P67-M |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
472
87.9 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.5 IPS |
|
|
Image Classification (Q)
|
100% |
825
153.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
984
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
870
1.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
1879
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.8 IPS |
|
|
Object Detection (Q)
|
87% |
839
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
2346
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1615
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1598
12.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
2246
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2307
2.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2297
2.95 IPS |
|
|
Style Transfer (Q)
|
98% |
5614
7.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1129
41.8 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
91% |
517
694.9 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
100% |
689
11.9 IPS |
