FUJITSU ESPRIMO D556/2
Geekbench AI Score
6525
Single Precision Score
5491
Half Precision Score
4703
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | January 23 2026 09:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | FUJITSU ESPRIMO D556/2 |
| Motherboard | FUJITSU D3430-U1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2751
511.7 IPS |
|
|
Image Classification (HP)
|
100% |
2719
505.7 IPS |
|
|
Image Classification (Q)
|
99% |
2261
421.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4175
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3896
63.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3437
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24537
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16968
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
20779
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
3204
254.1 IPS |
|
|
Object Detection (HP)
|
100% |
3161
250.8 IPS |
|
|
Object Detection (Q)
|
83% |
2700
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
6593
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
6340
75.3 IPS |
|
|
Face Detection (Q)
|
97% |
5478
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14934
115.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11991
92.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11139
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47609
61.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32755
42.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37826
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8645
319.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7696
284.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5785
214.2 IPS |
|
|
Text Classification (SP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
855
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1064
20.0 IPS |
