ASUSTeK COMPUTER INC. EX-B150M-V3
Geekbench AI Score
635
Single Precision Score
657
Half Precision Score
493
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 26 2024 01:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E3-1230 v5 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.3 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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
484
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
234
43.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
339
5.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
706
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
1004
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
85% |
402
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.43 IPS |
|
|
Face Detection (Q)
|
97% |
763
9.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
704
5.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
63% |
691
6.48 IPS |
|
|
Style Transfer (SP)
|
100% |
812
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
873
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
1799
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
443
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
573
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
92% |
189
254.1 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
58% |
261
6.12 IPS |
