Dell Inc. Precision 7520
Geekbench AI Score
503
Single Precision Score
311
Half Precision Score
425
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | January 02 2025 10:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| 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% |
271
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
100% |
256
47.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
344
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
843
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
86% |
253
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
97% |
524
6.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
843
6.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
537
4.15 IPS |
|
|
Depth Estimation (Q)
|
77% |
750
6.01 IPS |
|
|
Style Transfer (SP)
|
100% |
1837
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1366
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1672
2.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
429
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.5 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.1 IPS |
|
|
Text Classification (Q)
|
97% |
177
237.4 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
96% |
228
3.95 IPS |
|
|
Machine Translation (Q)
|
70% |
209
3.92 IPS |
