Dell Inc. Precision 3660
Geekbench AI Score
1769
Single Precision Score
1812
Half Precision Score
1199
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | December 11 2024 04:42 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Dell Inc. Precision 3660 |
| Motherboard | Dell Inc. 0VJ7G2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
790
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
100% |
679
126.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
808
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5991
6.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
3576
4.19 IPS |
|
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (HP)
|
98% |
730
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
717
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
1877
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
1283
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3172
24.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3567
27.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2347
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11028
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15120
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8222
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
957
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.6 IPS |
|
|
Text Classification (Q)
|
97% |
455
609.9 IPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
70% |
408
7.64 IPS |
