Dell Inc. XPS 8930
Geekbench AI Score
1917
Single Precision Score
878
Half Precision Score
2005
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | justintea |
| Upload Date | November 21 2024 06:40 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| 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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (Q)
|
96% |
1701
317.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
1344
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3920
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (Q)
|
87% |
6985
8.25 IPS |
|
|
Object Detection (SP)
|
100% |
1231
97.6 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
86% |
1195
96.1 IPS |
|
|
Face Detection (SP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
834
9.92 IPS |
|
|
Face Detection (Q)
|
96% |
2348
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3864
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1268
9.77 IPS |
|
|
Depth Estimation (Q)
|
77% |
3524
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8963
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7148
9.19 IPS |
|
|
Style Transfer (Q)
|
87% |
9911
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1380
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1912
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
305
406.9 IPS |
|
|
Text Classification (Q)
|
97% |
306
410.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
60% |
1150
25.7 IPS |
