Dell Inc. Precision 3660
Geekbench AI Score
17134
Single Precision Score
29535
Half Precision Score
10794
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 09:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3660 |
| Motherboard | Dell Inc. 0VJ7G2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6957
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
12539
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
4889
909.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11613
188.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16885
273.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9011
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
85444
99.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
262824
306.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
71863
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
8673
687.9 IPS |
|
|
Object Detection (HP)
|
100% |
15508
1.23 KIPS |
|
|
Object Detection (Q)
|
85% |
6168
496.5 IPS |
|
|
Face Detection (SP)
|
100% |
19188
228.0 IPS |
|
|
Face Detection (HP)
|
100% |
33050
392.7 IPS |
|
|
Face Detection (Q)
|
97% |
14555
173.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38893
299.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78695
606.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25775
206.1 IPS |
|
|
Style Transfer (SP)
|
100% |
155108
199.4 IPS |
|
|
Style Transfer (HP)
|
100% |
384687
494.5 IPS |
|
|
Style Transfer (Q)
|
98% |
115341
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29567
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41795
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16447
609.0 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1327
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1165
21.8 IPS |
