Dell Inc. Precision 3660
Geekbench AI Score
2378
Single Precision Score
3431
Half Precision Score
5368
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 05:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
2662
495.0 IPS |
|
|
Image Classification (Q)
|
99% |
3974
741.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3821
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4406
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4365
5.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
3176
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
12970
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.8 IPS |
|
|
Object Detection (HP)
|
98% |
2264
180.1 IPS |
|
|
Object Detection (Q)
|
90% |
3532
282.4 IPS |
|
|
Face Detection (SP)
|
100% |
4996
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
7713
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
9603
114.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5077
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8354
64.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
11973
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11421
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17755
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30005
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6665
246.8 IPS |
|
|
Text Classification (SP)
|
71% |
560
810.1 IPS |
|
|
Text Classification (HP)
|
71% |
764
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1070
18.5 IPS |
|
|
Machine Translation (Q)
|
89% |
1424
24.8 IPS |
