Dell Inc. Precision 3660
Geekbench AI Score
3233
Single Precision Score
965
Half Precision Score
5684
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 10:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3660 |
| Motherboard | Dell Inc. 0PRR48 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2743
510.2 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
99% |
3820
712.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
7973
129.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6725
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2757
3.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
20361
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
4632
372.2 IPS |
|
|
Face Detection (SP)
|
100% |
7891
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
7282
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7772
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1305
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11752
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14933
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6692
8.60 IPS |
|
|
Style Transfer (Q)
|
98% |
18402
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3783
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.9 IPS |
|
|
Text Classification (Q)
|
97% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (Q)
|
65% |
2182
43.8 IPS |
