Dell Inc. G3 3590
Geekbench AI Score
1628
Single Precision Score
780
Half Precision Score
2564
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 06:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. G3 3590 |
| Motherboard | Dell Inc. 061RYD |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.2 IPS |
|
|
Image Classification (Q)
|
96% |
2230
416.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
2867
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2417
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2249
2.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
4688
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.8 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
58% |
1469
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
727
8.64 IPS |
|
|
Face Detection (Q)
|
96% |
3917
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2947
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
975
7.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
4466
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5964
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
4487
5.77 IPS |
|
|
Style Transfer (Q)
|
87% |
7756
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1945
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
478
637.9 IPS |
|
|
Text Classification (Q)
|
97% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1408
27.2 IPS |
