ASUSTeK COMPUTER INC. EX-B150M-V3
Geekbench AI Score
778
Single Precision Score
780
Half Precision Score
618
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 25 2024 08:23 AM |
| Views | 2 |
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% |
700
130.2 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (Q)
|
99% |
418
78.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
475
7.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
835
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
830
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
1055
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
85% |
457
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
801
9.52 IPS |
|
|
Face Detection (Q)
|
97% |
922
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
808
6.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
813
6.26 IPS |
|
|
Depth Estimation (Q)
|
63% |
872
8.17 IPS |
|
|
Style Transfer (SP)
|
100% |
997
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
993
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
1988
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
625
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
349
469.4 IPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
58% |
246
5.76 IPS |
