Dell Inc. Precision 3571
Geekbench AI Score
3029
Single Precision Score
1156
Half Precision Score
5146
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 04:54 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| 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% |
2275
423.2 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
4454
830.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2658
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4914
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3263
3.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
16516
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
86% |
4678
375.9 IPS |
|
|
Face Detection (SP)
|
100% |
6164
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
7000
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6393
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1581
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10922
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12022
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7978
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19386
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3172
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
582
776.9 IPS |
|
|
Text Classification (Q)
|
97% |
1218
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2489
50.0 IPS |
