Dell Inc. Precision 3660
Geekbench AI Score
2658
Single Precision Score
3877
Half Precision Score
6162
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | December 11 2024 04:46 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1582
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
2728
507.3 IPS |
|
|
Image Classification (Q)
|
99% |
4232
789.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3870
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5253
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4290
5.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
3202
3.74 IPS |
|
|
Pose Estimation (Q)
|
97% |
13233
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
98% |
2340
186.2 IPS |
|
|
Object Detection (Q)
|
90% |
4327
346.0 IPS |
|
|
Face Detection (SP)
|
100% |
5084
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
7824
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
10825
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5042
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8458
65.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11838
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11214
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19489
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29794
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3338
123.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6824
252.7 IPS |
|
|
Text Classification (SP)
|
71% |
1196
1.73 KIPS |
|
|
Text Classification (HP)
|
71% |
1381
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
1457
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1633
28.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1636
28.2 IPS |
