Dell Inc. XPS 8930
Geekbench AI Score
2843
Single Precision Score
2852
Half Precision Score
4534
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | justtea |
| Upload Date | November 21 2024 06:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8400 CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 8930 |
| Motherboard | Dell Inc. 0DF42J |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (HP)
|
100% |
1852
344.5 IPS |
|
|
Image Classification (Q)
|
100% |
2896
538.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2899
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3967
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3939
4.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
7844
9.20 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (Q)
|
87% |
2997
240.3 IPS |
|
|
Face Detection (SP)
|
100% |
3337
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
7904
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4896
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4841
37.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8216
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11403
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11834
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22797
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4723
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2571
44.3 IPS |
