Gateway SX3785
Geekbench AI Score
3280
Single Precision Score
3284
Half Precision Score
4846
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 29 2025 06:12 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (Q)
|
100% |
3061
569.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3665
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4454
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4451
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
8375
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
2014
159.7 IPS |
|
|
Object Detection (HP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (Q)
|
87% |
3210
257.5 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
8577
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5246
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5315
40.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
8724
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12157
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12115
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23868
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2543
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4820
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (Q)
|
91% |
941
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2924
50.4 IPS |
