Dell Inc. Precision 5680
Geekbench AI Score
7867
Single Precision Score
14791
Half Precision Score
5562
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 21 2025 03:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 6GB Laptop GPU |
| 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% |
3393
631.0 IPS |
|
|
Image Classification (HP)
|
99% |
5746
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
2885
538.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5093
82.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7643
123.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4292
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
31725
37.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
108783
126.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
24610
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3915
310.5 IPS |
|
|
Object Detection (HP)
|
100% |
8328
660.6 IPS |
|
|
Object Detection (Q)
|
84% |
3204
258.4 IPS |
|
|
Face Detection (SP)
|
100% |
8101
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
14666
174.3 IPS |
|
|
Face Detection (Q)
|
97% |
6725
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18029
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
38076
294.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13241
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55476
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
155567
200.0 IPS |
|
|
Style Transfer (Q)
|
98% |
44217
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10787
398.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21251
784.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6770
250.7 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
99% |
2533
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
985
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2785
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1106
20.7 IPS |
