Dell Inc. Precision 7780
Geekbench AI Score
1732
Single Precision Score
1769
Half Precision Score
1189
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 04:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Precision 7780 |
| Motherboard | Dell Inc. |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.6 IPS |
|
|
Image Classification (Q)
|
100% |
669
124.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5553
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
3729
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (HP)
|
98% |
723
57.6 IPS |
|
|
Object Detection (Q)
|
86% |
702
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1274
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3186
24.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3512
27.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2366
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11255
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15235
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8323
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2674
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
965
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.3 IPS |
|
|
Text Classification (Q)
|
97% |
437
585.5 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
70% |
382
7.17 IPS |
