ASUSTeK COMPUTER INC. EX-B150M-V3
Geekbench AI Score
146
Single Precision Score
133
Half Precision Score
118
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 25 2024 08:10 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% |
689
128.2 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.8 IPS |
|
|
Image Classification (Q)
|
99% |
413
77.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
329
5.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
699
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
477
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
47
3.72 IPS |
|
|
Object Detection (HP)
|
100% |
39
3.11 IPS |
|
|
Object Detection (Q)
|
85% |
34
2.71 IPS |
|
|
Face Detection (SP)
|
100% |
91
1.09 IPS |
|
|
Face Detection (HP)
|
100% |
103
1.23 IPS |
|
|
Face Detection (Q)
|
97% |
92
1.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
134
1.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
149
1.15 IPS |
|
|
Depth Estimation (Q)
|
63% |
117
1.10 IPS |
|
|
Style Transfer (SP)
|
100% |
417
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
429
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
482
0.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80
2.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
80
2.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
144
5.35 IPS |
|
|
Text Classification (SP)
|
100% |
11
14.8 IPS |
|
|
Text Classification (HP)
|
100% |
9
11.5 IPS |
|
|
Text Classification (Q)
|
92% |
11
15.1 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
61
1.05 IPS |
|
|
Machine Translation (Q)
|
58% |
30
0.71 IPS |
