Desktop - FUJITSU ESPRIMO D538 FUJITSU ESPRIMO D538
Geekbench AI Score
815
Single Precision Score
986
Half Precision Score
645
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kecskesajt |
| Upload Date | February 06 2025 12:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
363
67.5 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (Q)
|
100% |
364
67.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (Q)
|
97% |
1861
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (HP)
|
98% |
455
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
379
30.5 IPS |
|
|
Face Detection (SP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (HP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
599
7.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1598
12.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
1992
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1300
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5454
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
8276
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
4327
5.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
759
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
403
538.3 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.3 IPS |
|
|
Text Classification (Q)
|
97% |
250
334.4 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
70% |
229
4.29 IPS |
