Dell Inc. Precision 5680
Geekbench AI Score
7251
Single Precision Score
14533
Half Precision Score
5183
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | April 29 2025 10:32 PM |
| Views | 5 |
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% |
2682
498.7 IPS |
|
|
Image Classification (HP)
|
99% |
7065
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
2738
510.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4808
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8917
144.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3827
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29564
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
104584
122.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
24617
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3807
302.0 IPS |
|
|
Object Detection (HP)
|
100% |
7917
628.0 IPS |
|
|
Object Detection (Q)
|
84% |
2929
236.3 IPS |
|
|
Face Detection (SP)
|
100% |
7743
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
14766
175.4 IPS |
|
|
Face Detection (Q)
|
97% |
6641
79.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16276
125.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35627
274.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12190
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54761
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
157174
202.0 IPS |
|
|
Style Transfer (Q)
|
98% |
44042
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10372
383.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18707
690.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6360
235.5 IPS |
|
|
Text Classification (SP)
|
100% |
1787
2.39 KIPS |
|
|
Text Classification (HP)
|
99% |
2214
2.96 KIPS |
|
|
Text Classification (Q)
|
97% |
832
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (Q)
|
70% |
983
18.4 IPS |
