System manufacturer System Product Name
Geekbench AI Score
1213
Single Precision Score
1216
Half Precision Score
711
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Petrat |
| Upload Date | September 06 2024 01:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-9100F |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100F |
| 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 | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.5 IPS |
|
|
Image Classification (HP)
|
100% |
878
163.2 IPS |
|
|
Image Classification (Q)
|
99% |
457
85.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
1396
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
1227
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (HP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (Q)
|
85% |
503
40.5 IPS |
|
|
Face Detection (SP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1477
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1050
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1443
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1453
11.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
982
9.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1888
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1876
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
2565
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
703
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
383
514.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (Q)
|
58% |
318
7.47 IPS |
