To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
224
Single Precision Score
223
Half Precision Score
1068
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | sahinkilinc |
| Upload Date | October 17 2024 09:20 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3470 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | INTEL Corporation B75 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3470 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
100% |
685
127.4 IPS |
|
|
Image Segmentation (SP)
|
29% |
44
9.16 IPS |
|
|
Image Segmentation (HP)
|
29% |
43
9.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
1450
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
87% |
705
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
1989
23.7 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
10.0 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
9.95 IPS |
|
|
Depth Estimation (Q)
|
81% |
1792
14.2 IPS |
|
|
Style Transfer (SP)
|
31% |
183
2.48 IPS |
|
|
Style Transfer (HP)
|
31% |
182
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
4290
5.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
891
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.7 IPS |
|
|
Text Classification (HP)
|
100% |
710
947.3 IPS |
|
|
Text Classification (Q)
|
91% |
393
528.2 IPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
100% |
673
11.6 IPS |
