Gateway SX3785
Geekbench AI Score
3131
Single Precision Score
3149
Half Precision Score
4713
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 06 2025 03:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8400 CPU @ 2.80GHz |
| 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% |
1868
347.4 IPS |
|
|
Image Classification (HP)
|
100% |
1964
365.2 IPS |
|
|
Image Classification (Q)
|
100% |
2966
551.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4208
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
8230
9.65 IPS |
|
|
Object Detection (SP)
|
100% |
1897
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (Q)
|
87% |
3051
244.7 IPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (Q)
|
97% |
8225
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5281
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5266
40.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
8644
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12040
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12085
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23127
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2536
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4647
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (Q)
|
91% |
1053
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2630
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2664
45.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2659
45.8 IPS |
