Dell Inc. XPS 8930
Geekbench AI Score
1748
Single Precision Score
2521
Half Precision Score
2407
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 05:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1101
204.7 IPS |
|
|
Image Classification (HP)
|
100% |
1662
309.0 IPS |
|
|
Image Classification (Q)
|
100% |
1513
281.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2146
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
2585
3.03 IPS |
|
|
Pose Estimation (Q)
|
97% |
3860
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
1070
84.8 IPS |
|
|
Object Detection (HP)
|
99% |
1718
136.6 IPS |
|
|
Object Detection (Q)
|
88% |
1598
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5120
60.8 IPS |
|
|
Face Detection (Q)
|
97% |
4593
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3243
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5541
42.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5029
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7826
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10516
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9480
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2267
84.0 IPS |
|
|
Text Classification (SP)
|
71% |
711
1.03 KIPS |
|
|
Text Classification (HP)
|
71% |
814
1.18 KIPS |
|
|
Text Classification (Q)
|
92% |
633
850.8 IPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
97% |
1052
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1039
18.0 IPS |
