To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1063
Single Precision Score
947
Half Precision Score
542
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | zkmusa |
| Upload Date | January 01 2025 09:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-9500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock H370M-ITX/ac |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
1199
222.9 IPS |
|
|
Image Classification (Q)
|
99% |
545
101.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
566
9.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1435
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
844
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
85% |
313
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
665
7.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
1032
7.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1053
8.11 IPS |
|
|
Depth Estimation (Q)
|
63% |
742
6.95 IPS |
|
|
Style Transfer (SP)
|
100% |
1482
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1312
1.69 IPS |
|
|
Style Transfer (Q)
|
98% |
2006
2.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
621
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.0 IPS |
|
|
Text Classification (Q)
|
92% |
219
294.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
58% |
219
5.14 IPS |
