DACOMSYSTEM Co.,Ltd. Desktop
Geekbench AI Score
4098
Single Precision Score
1904
Half Precision Score
8206
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 01:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | DACOMSYSTEM Co.,Ltd. Desktop |
| Motherboard | ECS B860H8-M8 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3401
632.4 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.3 IPS |
|
|
Image Classification (Q)
|
99% |
7381
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9501
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6640
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4948
5.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
25017
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2063
163.6 IPS |
|
|
Object Detection (HP)
|
100% |
862
68.3 IPS |
|
|
Object Detection (Q)
|
86% |
6847
550.3 IPS |
|
|
Face Detection (SP)
|
100% |
8566
101.8 IPS |
|
|
Face Detection (HP)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
10121
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8231
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2503
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15338
122.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16356
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12881
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21729
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2934
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2666
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6481
240.0 IPS |
|
|
Text Classification (SP)
|
100% |
1884
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1672
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2524
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3157
63.4 IPS |
