Dell Inc. Precision 7530
Geekbench AI Score
913
Single Precision Score
1039
Half Precision Score
720
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | November 04 2024 05:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 7530 |
| Motherboard | Dell Inc. 0425K7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
99% |
353
65.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
497
8.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
2268
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3577
4.17 IPS |
|
|
Pose Estimation (Q)
|
97% |
2077
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
98% |
453
36.0 IPS |
|
|
Object Detection (Q)
|
89% |
377
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
807
9.59 IPS |
|
|
Face Detection (HP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
673
8.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1636
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2012
15.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
1380
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5840
7.51 IPS |
|
|
Style Transfer (HP)
|
100% |
8709
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5067
6.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
909
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
453
605.0 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.8 IPS |
|
|
Text Classification (Q)
|
97% |
276
369.0 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
60% |
234
5.23 IPS |
