Dell Inc. Precision 7530
Geekbench AI Score
1474
Single Precision Score
716
Half Precision Score
1766
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | November 04 2024 05:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| 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% |
897
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
96% |
1468
274.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
1116
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2538
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (Q)
|
87% |
5027
5.94 IPS |
|
|
Object Detection (SP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.7 IPS |
|
|
Object Detection (Q)
|
86% |
959
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (Q)
|
96% |
2351
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2816
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1006
7.75 IPS |
|
|
Depth Estimation (Q)
|
77% |
3080
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6214
7.99 IPS |
|
|
Style Transfer (HP)
|
100% |
4723
6.07 IPS |
|
|
Style Transfer (Q)
|
87% |
8706
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1760
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.7 IPS |
|
|
Text Classification (Q)
|
97% |
306
409.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
60% |
1105
24.7 IPS |
