To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1056
Single Precision Score
1057
Half Precision Score
593
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | zkmusa |
| Upload Date | January 01 2025 04:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| 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 i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
762
141.8 IPS |
|
|
Image Classification (HP)
|
100% |
768
142.9 IPS |
|
|
Image Classification (Q)
|
99% |
371
69.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
445
7.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1285
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1279
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
1055
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (Q)
|
85% |
419
33.7 IPS |
|
|
Face Detection (SP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
856
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1323
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1287
9.91 IPS |
|
|
Depth Estimation (Q)
|
63% |
826
7.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1780
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1709
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
2178
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
315
422.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (Q)
|
58% |
267
6.26 IPS |
