Dell Inc. Precision 5520
Geekbench AI Score
2064
Single Precision Score
1993
Half Precision Score
1499
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | PanisSupraOmnia |
| Upload Date | August 22 2024 10:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M1200 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5520 |
| Motherboard | Dell Inc. 0R6JFH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.0 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6274
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6051
7.06 IPS |
|
|
Pose Estimation (Q)
|
97% |
5655
6.62 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.5 IPS |
|
|
Object Detection (Q)
|
89% |
833
66.7 IPS |
|
|
Face Detection (SP)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
1758
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1345
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3761
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3736
28.8 IPS |
|
|
Depth Estimation (Q)
|
72% |
2984
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10790
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10810
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9598
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3165
116.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2303
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.1 IPS |
|
|
Text Classification (HP)
|
100% |
598
797.7 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
60% |
543
12.1 IPS |
