Dell Inc. G3 3500
Geekbench AI Score
1542
Single Precision Score
1528
Half Precision Score
980
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | bolzan |
| Upload Date | August 19 2024 12:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | Dell Inc. G3 3500 |
| Motherboard | Dell Inc. 0NDJNG |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1252
232.8 IPS |
|
|
Image Classification (HP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (Q)
|
99% |
600
111.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1885
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1824
2.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
1812
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.6 IPS |
|
|
Object Detection (HP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (Q)
|
86% |
711
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1527
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1854
14.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
1650
12.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
1480
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2197
2.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2169
2.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3555
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
954
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
460
617.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (Q)
|
58% |
439
10.3 IPS |
