FUJITSU ESPRIMO D556/2
Geekbench AI Score
1511
Single Precision Score
1394
Half Precision Score
1850
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | January 23 2026 09:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7500 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | FUJITSU ESPRIMO D556/2 |
| Motherboard | FUJITSU D3430-U1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (HP)
|
100% |
775
144.1 IPS |
|
|
Image Classification (Q)
|
100% |
1157
215.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1383
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2660
3.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
5355
6.28 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
1226
97.2 IPS |
|
|
Object Detection (Q)
|
87% |
1204
96.6 IPS |
|
|
Face Detection (SP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
2933
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1951
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1860
14.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
2771
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6394
8.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4448
5.72 IPS |
|
|
Style Transfer (Q)
|
98% |
6878
8.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
733
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1703
63.1 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
91% |
364
489.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1315
22.7 IPS |
