Desktop - FUJITSU ESPRIMO D538 FUJITSU ESPRIMO D538
Geekbench AI Score
1884
Single Precision Score
1863
Half Precision Score
3144
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kecskesajt |
| Upload Date | February 06 2025 12:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-8100 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | FUJITSU ESPRIMO D538 |
| Motherboard | FUJITSU D3600-A1 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
1228
228.3 IPS |
|
|
Image Classification (Q)
|
100% |
2024
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1895
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2665
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
5295
6.21 IPS |
|
|
Object Detection (SP)
|
100% |
1084
85.9 IPS |
|
|
Object Detection (HP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (Q)
|
87% |
1979
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
1670
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
4963
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3242
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2936
22.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
5434
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7422
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
7501
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
14664
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3022
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (Q)
|
91% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1589
27.4 IPS |
