Dell Inc. Inspiron 660s
Geekbench AI Score
1768
Single Precision Score
1714
Half Precision Score
1299
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | January 29 2026 05:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro K1200 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 660s |
| Motherboard | Dell Inc. 0478VN |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3220 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (Q)
|
100% |
584
108.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
734
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5523
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5128
5.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
4866
5.70 IPS |
|
|
Object Detection (SP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (HP)
|
100% |
820
65.1 IPS |
|
|
Object Detection (Q)
|
83% |
693
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
1157
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2999
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2900
22.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2419
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8783
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8660
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7618
9.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2658
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1841
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
434
582.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1249
21.6 IPS |
|
|
Machine Translation (Q)
|
70% |
559
10.5 IPS |
