FUJITSU FUTRO S940
Geekbench AI Score
285
Single Precision Score
126
Half Precision Score
310
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | janushk |
| Upload Date | December 02 2025 08:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium Silver J5005 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Server Edition) |
| Model | FUJITSU FUTRO S940 |
| Motherboard | FUJITSU D3543-A1 |
| CPU Information | |
|---|---|
| Name | Intel Pentium Silver J5005 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (HP)
|
100% |
43
7.99 IPS |
|
|
Image Classification (Q)
|
97% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
61
0.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
249
4.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
328
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
366
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
52
4.12 IPS |
|
|
Object Detection (Q)
|
86% |
157
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
418
4.96 IPS |
|
|
Face Detection (HP)
|
100% |
94
1.11 IPS |
|
|
Face Detection (Q)
|
97% |
705
8.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
471
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
191
1.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
449
3.57 IPS |
|
|
Style Transfer (SP)
|
100% |
856
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
992
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.68 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
242
8.95 IPS |
|
|
Text Classification (SP)
|
100% |
207
275.9 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.7 IPS |
|
|
Text Classification (Q)
|
97% |
237
317.2 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (Q)
|
65% |
210
4.22 IPS |
