ASUSTeK COMPUTER INC. EX-B150M-V3
Geekbench AI Score
509
Single Precision Score
485
Half Precision Score
477
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% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.4 IPS |
|
|
Image Classification (Q)
|
99% |
403
75.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
306
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
803
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
85% |
336
27.0 IPS |
|
|
Face Detection (SP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (Q)
|
97% |
962
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
494
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.82 IPS |
|
|
Depth Estimation (Q)
|
63% |
483
4.53 IPS |
|
|
Style Transfer (SP)
|
100% |
576
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
1380
1.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
390
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.0 IPS |
|
|
Text Classification (HP)
|
100% |
501
669.1 IPS |
|
|
Text Classification (Q)
|
92% |
260
349.7 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.90 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
58% |
283
6.65 IPS |
