Dell Inc. Precision 3660
Geekbench AI Score
4500
Single Precision Score
1733
Half Precision Score
5279
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | October 01 2024 03:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Dell Inc. Precision 3660 |
| Motherboard | Dell Inc. 0VJ7G2 |
| Power Plan | Free i9 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% |
2668
496.2 IPS |
|
|
Image Classification (HP)
|
100% |
650
121.0 IPS |
|
|
Image Classification (Q)
|
99% |
4350
811.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3507
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4640
5.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
31242
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
2947
233.7 IPS |
|
|
Object Detection (HP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (Q)
|
88% |
2593
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
4596
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
2060
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
5138
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10116
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2178
16.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
10614
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21321
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11415
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25024
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2418
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5809
215.1 IPS |
|
|
Text Classification (SP)
|
100% |
1974
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
631
844.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2421
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2723
60.7 IPS |
