Dell Inc. Precision 3571
Geekbench AI Score
8783
Single Precision Score
17422
Half Precision Score
6100
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:45 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 8GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3571 |
| Motherboard | Dell Inc. 0Y00MT |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| 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% |
3665
681.6 IPS |
|
|
Image Classification (HP)
|
99% |
7555
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
3071
572.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6156
99.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10606
171.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4946
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
30768
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
115963
135.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26854
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
4378
347.3 IPS |
|
|
Object Detection (HP)
|
100% |
9431
748.1 IPS |
|
|
Object Detection (Q)
|
84% |
3464
279.4 IPS |
|
|
Face Detection (SP)
|
100% |
9816
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
17973
213.6 IPS |
|
|
Face Detection (Q)
|
97% |
7907
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19183
147.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45080
348.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
14344
115.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59257
76.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173618
223.2 IPS |
|
|
Style Transfer (Q)
|
98% |
48752
62.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13477
497.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23589
871.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7714
285.6 IPS |
|
|
Text Classification (SP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
2876
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1003
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1181
22.2 IPS |
