Dell Inc. Precision 3571
Geekbench AI Score
3540
Single Precision Score
3474
Half Precision Score
8359
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:50 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
2226
414.0 IPS |
|
|
Image Classification (HP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (Q)
|
100% |
5508
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4092
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
16258
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
2177
172.7 IPS |
|
|
Object Detection (Q)
|
88% |
5721
458.6 IPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
8860
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4087
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4161
32.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
15205
118.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13185
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13419
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
47083
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2764
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2589
95.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9198
340.6 IPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3610
62.2 IPS |
