ASUSTeK COMPUTER INC. EX-B150M-V3
Geekbench AI Score
264
Single Precision Score
203
Half Precision Score
179
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 25 2024 08:02 AM |
| Views | 3 |
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% |
87
16.1 IPS |
|
|
Image Classification (HP)
|
100% |
91
17.0 IPS |
|
|
Image Classification (Q)
|
99% |
72
13.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
157
2.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
614
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
85% |
106
8.50 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (Q)
|
97% |
279
3.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
413
3.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.74 IPS |
|
|
Depth Estimation (Q)
|
63% |
242
2.27 IPS |
|
|
Style Transfer (SP)
|
100% |
583
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
576
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1102
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
186
6.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.16 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
64
85.8 IPS |
|
|
Text Classification (Q)
|
92% |
43
57.2 IPS |
|
|
Machine Translation (SP)
|
100% |
145
2.50 IPS |
|
|
Machine Translation (HP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (Q)
|
58% |
76
1.78 IPS |
