FUJITSU ESPRIMO D556/2
Geekbench AI Score
1573
Single Precision Score
746
Half Precision Score
2187
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | January 23 2026 09:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| 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% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
96% |
1444
269.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
1893
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2512
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
4377
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (Q)
|
58% |
1129
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
96% |
3398
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3274
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1062
8.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
4097
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5346
6.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3908
5.02 IPS |
|
|
Style Transfer (Q)
|
87% |
7048
9.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1749
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
488
651.2 IPS |
|
|
Text Classification (Q)
|
97% |
794
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1361
26.3 IPS |
