Dell Inc. Precision 5680
Geekbench AI Score
2954
Single Precision Score
1311
Half Precision Score
3547
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 02:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5680 |
| Motherboard | Dell Inc. 083C9C |
| 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% |
1664
309.5 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
3160
589.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2848
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6355
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3972
4.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
21675
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
88% |
1405
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
3920
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6560
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1958
15.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6243
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14253
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8856
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16013
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2999
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
1592
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.0 IPS |
|
|
Text Classification (Q)
|
97% |
487
652.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2013
44.9 IPS |
