Dell Inc. Precision 7520
Geekbench AI Score
1689
Single Precision Score
762
Half Precision Score
1869
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | January 02 2025 10:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7820HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise 2016 LTSB (64-bit) |
| Model | Dell Inc. Precision 7520 |
| Motherboard | Dell Inc. 0P1FNM |
| Power Plan | High performance |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
96% |
1735
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
906
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2582
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2087
2.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
4298
5.08 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
58% |
1142
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
2342
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
801
9.52 IPS |
|
|
Face Detection (Q)
|
96% |
3290
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3427
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1079
8.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
4343
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6453
8.29 IPS |
|
|
Style Transfer (HP)
|
100% |
4682
6.02 IPS |
|
|
Style Transfer (Q)
|
87% |
7689
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1521
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
421
562.4 IPS |
|
|
Text Classification (Q)
|
97% |
320
428.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1265
24.4 IPS |
