Gateway SX3785
Geekbench AI Score
2483
Single Precision Score
1062
Half Precision Score
3178
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 29 2025 06:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.2 IPS |
|
|
Image Classification (Q)
|
96% |
2747
512.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
1809
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4429
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3527
4.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
7503
8.87 IPS |
|
|
Object Detection (SP)
|
100% |
1916
152.0 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
58% |
1996
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
997
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
4978
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5197
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1451
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6591
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10011
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7398
9.51 IPS |
|
|
Style Transfer (Q)
|
87% |
10864
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2058
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
588
785.4 IPS |
|
|
Text Classification (Q)
|
97% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (Q)
|
68% |
1860
35.9 IPS |
