Dell Inc. Dell G15 5510
Geekbench AI Score
5305
Single Precision Score
4204
Half Precision Score
3865
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell G15 5510 |
| Motherboard | Dell Inc. 0YJ00M |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
1975
367.2 IPS |
|
|
Image Classification (Q)
|
100% |
1664
309.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3489
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2993
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23036
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14711
17.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
20267
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (Q)
|
89% |
1918
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (Q)
|
97% |
4544
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12590
97.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9666
74.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
9276
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41524
53.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28004
36.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35134
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7980
294.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6467
238.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5434
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
748
998.7 IPS |
|
|
Text Classification (Q)
|
97% |
714
955.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1456
25.2 IPS |
|
|
Machine Translation (Q)
|
60% |
670
14.9 IPS |
