Dell Inc. Precision 3660
Geekbench AI Score
3875
Single Precision Score
820
Half Precision Score
4879
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 10:48 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| 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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.8 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
4326
807.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
3008
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8150
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
27194
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
88% |
2090
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
4082
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
97% |
4809
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
930
7.17 IPS |
|
|
Depth Estimation (Q)
|
76% |
10104
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18924
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10630
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24654
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3282
121.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2046
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5227
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
669
892.6 IPS |
|
|
Text Classification (Q)
|
97% |
629
842.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2625
58.5 IPS |
