Dell Inc. Precision 3660
Geekbench AI Score
1590
Single Precision Score
1675
Half Precision Score
1062
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:41 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
667
124.1 IPS |
|
|
Image Classification (HP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (Q)
|
100% |
547
101.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4119
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5269
6.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
2998
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.3 IPS |
|
|
Object Detection (HP)
|
98% |
660
52.6 IPS |
|
|
Object Detection (Q)
|
89% |
630
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
1029
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2985
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3301
25.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
2158
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10971
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14900
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8199
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2522
93.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
938
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.5 IPS |
|
|
Text Classification (Q)
|
97% |
419
560.7 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
318
7.09 IPS |
