Generic
Geekbench AI Score
803
Single Precision Score
805
Half Precision Score
1292
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | May 01 2025 08:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3570K CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z68 Extreme4 Gen3 |
| Power Plan | Balanced |
| 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 | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
100% |
875
162.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
99% |
998
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
864
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
861
1.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
1892
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
87% |
865
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
2312
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1519
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1518
11.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
2292
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2409
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
2395
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
5660
7.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
722
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1158
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
91% |
533
715.9 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
100% |
492
8.47 IPS |
