Dell Inc. Precision 7780
Geekbench AI Score
23686
Single Precision Score
36173
Half Precision Score
18521
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 07:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7780 |
| Motherboard | Dell Inc. 0C6JVW |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9400
1.75 KIPS |
|
|
Image Classification (HP)
|
99% |
14213
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
7995
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14252
231.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17325
280.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13537
220.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
145487
169.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
367869
429.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
140618
164.8 IPS |
|
|
Object Detection (SP)
|
100% |
12106
960.2 IPS |
|
|
Object Detection (HP)
|
100% |
16825
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
10348
832.4 IPS |
|
|
Face Detection (SP)
|
100% |
32799
389.7 IPS |
|
|
Face Detection (HP)
|
100% |
42321
502.9 IPS |
|
|
Face Detection (Q)
|
97% |
28842
343.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
54417
419.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111029
855.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
43574
349.3 IPS |
|
|
Style Transfer (SP)
|
100% |
283979
365.1 IPS |
|
|
Style Transfer (HP)
|
100% |
630020
809.9 IPS |
|
|
Style Transfer (Q)
|
98% |
233516
301.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37992
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55465
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30156
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3278
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4153
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1961
36.8 IPS |
