Gateway SX3785
Geekbench AI Score
1316
Single Precision Score
1950
Half Precision Score
1837
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 29 2025 06:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gateway SX3785 |
| Motherboard | Gateway SX3785(DCH) |
| Power Plan | Norton Utilities Premium - |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (HP)
|
100% |
1304
242.6 IPS |
|
|
Image Classification (Q)
|
100% |
1189
221.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1602
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
1974
2.31 IPS |
|
|
Pose Estimation (Q)
|
97% |
2643
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (HP)
|
99% |
1282
102.0 IPS |
|
|
Object Detection (Q)
|
88% |
1203
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (Q)
|
97% |
3535
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2318
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3990
30.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
3630
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5242
6.74 IPS |
|
|
Style Transfer (HP)
|
100% |
7256
9.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6487
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1648
61.0 IPS |
|
|
Text Classification (SP)
|
71% |
584
845.3 IPS |
|
|
Text Classification (HP)
|
71% |
685
990.2 IPS |
|
|
Text Classification (Q)
|
92% |
531
713.6 IPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
97% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
992
17.1 IPS |
