Desktop - FUJITSU ESPRIMO D538 FUJITSU ESPRIMO D538
Geekbench AI Score
1419
Single Precision Score
713
Half Precision Score
1776
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kecskesajt |
| Upload Date | February 06 2025 11:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| 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% |
1131
210.4 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
984
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2091
2.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
4582
5.42 IPS |
|
|
Object Detection (SP)
|
100% |
1023
81.2 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
58% |
1161
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
600
7.13 IPS |
|
|
Face Detection (Q)
|
96% |
2827
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2788
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
989
7.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
4149
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5640
7.25 IPS |
|
|
Style Transfer (HP)
|
100% |
4692
6.03 IPS |
|
|
Style Transfer (Q)
|
87% |
6115
7.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
933
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1467
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
520
694.2 IPS |
|
|
Text Classification (Q)
|
97% |
336
450.3 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (Q)
|
68% |
952
18.4 IPS |
