ASUSTeK COMPUTER INC. EX-B150M-V3
Geekbench AI Score
777
Single Precision Score
782
Half Precision Score
626
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 28 2024 07:11 AM |
| Views | 2 |
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% |
703
130.7 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.7 IPS |
|
|
Image Classification (Q)
|
99% |
411
76.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
475
7.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
864
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
860
1.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
1054
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (HP)
|
100% |
671
53.3 IPS |
|
|
Object Detection (Q)
|
85% |
448
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
799
9.49 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
97% |
966
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
801
6.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
802
6.18 IPS |
|
|
Depth Estimation (Q)
|
63% |
855
8.02 IPS |
|
|
Style Transfer (SP)
|
100% |
986
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
993
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
1971
2.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
346
464.4 IPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
58% |
286
6.71 IPS |
