Intel Core i3-9100 To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1172
Single Precision Score
1175
Half Precision Score
752
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | acn |
| Upload Date | June 27 2025 06:24 AM |
| Views | 6 |
| Notes | Intel Core i3-9100 + B360M Pro4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-9100 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock B360M Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
856
159.2 IPS |
|
|
Image Classification (HP)
|
100% |
863
160.4 IPS |
|
|
Image Classification (Q)
|
99% |
487
90.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
523
8.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1335
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1335
1.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
1233
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (HP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (Q)
|
85% |
535
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
1174
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1395
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1394
10.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1007
9.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1803
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1790
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
2558
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
709
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
1185
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
428
574.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (Q)
|
58% |
378
8.87 IPS |
