To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1633
Single Precision Score
1638
Half Precision Score
1205
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | April 10 2025 11:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock H510 Pro BTC+ |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.5 IPS |
|
|
Image Classification (HP)
|
100% |
1501
279.1 IPS |
|
|
Image Classification (Q)
|
99% |
812
151.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
881
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
2263
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (HP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (Q)
|
85% |
721
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
1715
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1932
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1712
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1714
13.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1583
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1782
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1785
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
4226
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1208
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
1718
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
598
803.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (Q)
|
58% |
595
14.0 IPS |
