Dell Inc. Inspiron 16 5645
Geekbench AI Score
6392
Single Precision Score
9723
Half Precision Score
4822
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 16 5645 |
| Motherboard | Dell Inc. 0FFDYC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
100% |
2392
444.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3390
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4202
68.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2645
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32218
37.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
55790
65.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23381
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
3119
247.4 IPS |
|
|
Object Detection (Q)
|
87% |
2072
166.4 IPS |
|
|
Face Detection (SP)
|
100% |
5195
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
9369
111.3 IPS |
|
|
Face Detection (Q)
|
97% |
4280
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13696
105.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20636
159.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
10613
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
52004
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85809
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35613
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11053
408.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18639
688.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6529
241.8 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2922
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1389
26.1 IPS |
