Dell Inc. XPS 8930
Geekbench AI Score
2495
Single Precision Score
1127
Half Precision Score
3635
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 03:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 8930 |
| Motherboard | Dell Inc. 0DF42J |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2144
398.7 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
96% |
3041
567.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
3771
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4169
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3308
3.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
7684
9.08 IPS |
|
|
Object Detection (SP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
58% |
2154
235.4 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
5267
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4459
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1486
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6936
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10309
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8371
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11173
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1584
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2609
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
720
961.7 IPS |
|
|
Text Classification (Q)
|
97% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1886
36.4 IPS |
