Dell Inc. G3 3500
Geekbench AI Score
6327
Single Precision Score
4871
Half Precision Score
4708
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | daemon-core |
| Upload Date | June 06 2025 01:17 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. G3 3500 |
| Motherboard | Dell Inc. 0W4J09 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2753
512.0 IPS |
|
|
Image Classification (HP)
|
100% |
2142
398.4 IPS |
|
|
Image Classification (Q)
|
99% |
2154
401.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4322
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3505
56.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3701
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23126
27.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15160
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
20946
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
3110
246.7 IPS |
|
|
Object Detection (HP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (Q)
|
83% |
2649
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
7296
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
5892
70.0 IPS |
|
|
Face Detection (Q)
|
97% |
6066
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14354
110.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10951
84.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11493
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42870
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29874
38.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37054
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9012
332.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7069
261.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6304
233.4 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
769
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2039
35.2 IPS |
|
|
Machine Translation (Q)
|
70% |
966
18.1 IPS |
