Desktop - FUJITSU ESPRIMO D538 FUJITSU ESPRIMO D538
Geekbench AI Score
1165
Single Precision Score
1799
Half Precision Score
1709
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kecskesajt |
| Upload Date | February 06 2025 12:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
798
148.3 IPS |
|
|
Image Classification (HP)
|
100% |
1252
232.8 IPS |
|
|
Image Classification (Q)
|
100% |
1142
212.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1417
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1931
2.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
2061
2.41 IPS |
|
|
Pose Estimation (Q)
|
97% |
2712
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
724
57.5 IPS |
|
|
Object Detection (HP)
|
99% |
1260
100.2 IPS |
|
|
Object Detection (Q)
|
88% |
1179
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
2779
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2305
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4044
31.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
3655
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5323
6.84 IPS |
|
|
Style Transfer (HP)
|
100% |
7428
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
6533
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1623
60.1 IPS |
|
|
Text Classification (SP)
|
71% |
521
753.8 IPS |
|
|
Text Classification (HP)
|
71% |
608
880.1 IPS |
|
|
Text Classification (Q)
|
92% |
487
653.6 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (HP)
|
97% |
780
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
787
13.6 IPS |
