ITMediaConsult AG Pentino_H-Series I_MT_B150-1
Geekbench AI Score
1613
Single Precision Score
1575
Half Precision Score
2277
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | agg_1977 |
| Upload Date | April 22 2025 09:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7400 CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ITMediaConsult AG Pentino_H-Series I_MT_B150-1 |
| Motherboard | ASUSTeK COMPUTER INC. B150M-C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1084
201.7 IPS |
|
|
Image Classification (HP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (Q)
|
100% |
1749
325.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1899
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2284
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1656
1.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
3957
4.64 IPS |
|
|
Object Detection (SP)
|
100% |
1054
83.6 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
87% |
1814
145.5 IPS |
|
|
Face Detection (SP)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2420
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
4581
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2833
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2874
22.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
4524
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6657
8.56 IPS |
|
|
Style Transfer (HP)
|
100% |
6804
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
7609
9.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1483
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
91% |
535
718.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1258
21.7 IPS |
