Dell Inc. XPS 8930
Geekbench AI Score
2749
Single Precision Score
1187
Half Precision Score
3006
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 05:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8930 |
| Motherboard | Dell Inc. 0DF42J |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2357
438.4 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.6 IPS |
|
|
Image Classification (Q)
|
96% |
3152
588.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1574
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4899
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3941
4.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
8387
9.92 IPS |
|
|
Object Detection (SP)
|
100% |
2137
169.5 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
58% |
1992
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (Q)
|
96% |
5205
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5910
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1626
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7099
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11266
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8660
11.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11978
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2000
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.9 IPS |
|
|
Text Classification (Q)
|
97% |
409
548.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
68% |
1708
33.0 IPS |
