Dell Inc. Precision 7530
Geekbench AI Score
1605
Single Precision Score
2281
Half Precision Score
2172
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | November 04 2024 05:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1017
189.0 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (Q)
|
100% |
1421
264.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1930
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2573
3.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
2356
2.76 IPS |
|
|
Pose Estimation (Q)
|
97% |
3519
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (HP)
|
99% |
1569
124.8 IPS |
|
|
Object Detection (Q)
|
88% |
1448
116.1 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (Q)
|
97% |
4225
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2982
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5058
39.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
4611
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7215
9.27 IPS |
|
|
Style Transfer (HP)
|
100% |
9517
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8599
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2070
76.7 IPS |
|
|
Text Classification (SP)
|
71% |
645
932.6 IPS |
|
|
Text Classification (HP)
|
71% |
714
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
535
719.1 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
97% |
912
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
903
15.6 IPS |
