Dell Inc. XPS 8930
Geekbench AI Score
1809
Single Precision Score
1857
Half Precision Score
1363
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 06:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
| 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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.8 IPS |
|
|
Image Classification (Q)
|
99% |
376
70.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
918
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8436
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5389
6.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
7135
8.36 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
100% |
940
74.5 IPS |
|
|
Object Detection (Q)
|
83% |
512
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1692
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
976
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3633
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3486
26.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
3004
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15956
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10070
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12918
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2682
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2142
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.9 IPS |
|
|
Text Classification (Q)
|
97% |
436
584.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1120
19.4 IPS |
|
|
Machine Translation (Q)
|
70% |
498
9.34 IPS |
