Generic
Geekbench AI Score
3499
Single Precision Score
1527
Half Precision Score
3889
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 11:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370 Gaming K6 |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2899
539.2 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (Q)
|
96% |
3970
741.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2052
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6278
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5091
5.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
10866
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (Q)
|
58% |
2592
283.2 IPS |
|
|
Face Detection (SP)
|
100% |
4153
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (Q)
|
96% |
6636
79.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7419
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2072
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8919
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14329
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11342
14.6 IPS |
|
|
Style Transfer (Q)
|
87% |
15710
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2527
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2980
110.4 IPS |
|
|
Text Classification (SP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
564
755.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2095
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2210
42.7 IPS |
