Dell Inc. Precision 5680
Geekbench AI Score
3219
Single Precision Score
3321
Half Precision Score
2037
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | May 09 2025 03:27 PM |
| Views | 4 |
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% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (Q)
|
100% |
1153
214.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1585
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13317
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13452
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
6630
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
1381
109.9 IPS |
|
|
Object Detection (Q)
|
86% |
1264
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
2355
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6451
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6961
53.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4477
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28027
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34618
44.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17755
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1592
58.9 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
519
692.8 IPS |
|
|
Text Classification (Q)
|
97% |
487
651.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (Q)
|
70% |
555
10.4 IPS |
