Dell Inc. Dell G15 5530
Geekbench AI Score
2102
Single Precision Score
2012
Half Precision Score
1387
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 02 2025 06:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. Dell G15 5530 |
| Motherboard | Dell Inc. 0NMHYY |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 19.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1795
333.9 IPS |
|
|
Image Classification (HP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (Q)
|
99% |
1074
200.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1055
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2536
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2595
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
3010
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (Q)
|
85% |
1110
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
2327
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2375
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2339
18.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1796
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2779
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
2900
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
5409
6.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1661
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1245
46.1 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
447
600.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (Q)
|
58% |
554
13.0 IPS |
