Dell Inc. Precision 5680
Geekbench AI Score
3231
Single Precision Score
3221
Half Precision Score
2032
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 21 2025 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5680 |
| Motherboard | Dell Inc. 0H2FJK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (Q)
|
100% |
1216
226.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1621
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13355
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13656
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
6645
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
98% |
1392
110.7 IPS |
|
|
Object Detection (Q)
|
86% |
1304
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (Q)
|
97% |
2405
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6479
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7054
54.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4508
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28714
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35201
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17595
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1647
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.0 IPS |
|
|
Text Classification (Q)
|
97% |
434
580.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
70% |
517
9.70 IPS |
