ASUSTeK COMPUTER INC. EX-B150M-V3
Geekbench AI Score
551
Single Precision Score
510
Half Precision Score
462
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 25 2024 07:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E3-1230 v5 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUSTeK COMPUTER INC. EX-B150M-V3 |
| Motherboard | ASUSTeK COMPUTER INC. EX-B150M-V3 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1230 v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
706
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (Q)
|
99% |
417
77.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
339
5.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
597
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
701
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
85% |
390
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
467
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (Q)
|
97% |
695
8.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
630
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
588
5.52 IPS |
|
|
Style Transfer (SP)
|
100% |
817
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
567
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1343
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
456
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
550
734.5 IPS |
|
|
Text Classification (HP)
|
100% |
562
749.9 IPS |
|
|
Text Classification (Q)
|
92% |
223
299.1 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (Q)
|
58% |
206
4.84 IPS |
