Dell Inc. G5 5505
Geekbench AI Score
1914
Single Precision Score
1877
Half Precision Score
2437
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 09:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Dell Inc. G5 5505 |
| Motherboard | Dell Inc. 0NCW8W |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
990
184.0 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.1 IPS |
|
|
Image Classification (Q)
|
100% |
1136
211.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
3755
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
1166
92.5 IPS |
|
|
Object Detection (HP)
|
100% |
1192
94.5 IPS |
|
|
Object Detection (Q)
|
87% |
1674
134.2 IPS |
|
|
Face Detection (SP)
|
100% |
2108
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2074
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
4764
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3304
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3317
25.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
4389
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8487
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7738
9.95 IPS |
|
|
Style Transfer (Q)
|
98% |
11068
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2037
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1600
2.14 KIPS |
|
|
Text Classification (Q)
|
91% |
670
900.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1944
33.5 IPS |
