Dell Inc. Precision 5680
Geekbench AI Score
6778
Single Precision Score
12010
Half Precision Score
4727
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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% |
2709
503.8 IPS |
|
|
Image Classification (HP)
|
100% |
5378
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
2262
420.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3986
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5497
89.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3333
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
31238
36.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
111683
130.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
26015
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3460
274.4 IPS |
|
|
Object Detection (HP)
|
100% |
6675
529.5 IPS |
|
|
Object Detection (Q)
|
89% |
2645
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
6679
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
11852
140.8 IPS |
|
|
Face Detection (Q)
|
97% |
5160
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14872
114.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32932
253.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
10813
87.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58726
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
156903
201.7 IPS |
|
|
Style Transfer (Q)
|
98% |
45426
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10807
399.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20051
740.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6474
239.7 IPS |
|
|
Text Classification (SP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
808
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (Q)
|
60% |
810
18.1 IPS |
