Dell Inc. Precision 5570
Geekbench AI Score
2077
Single Precision Score
886
Half Precision Score
2548
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5570 |
| Motherboard | Dell Inc. 0DPVMT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.5 IPS |
|
|
Image Classification (Q)
|
99% |
2053
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
601
9.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1624
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3919
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2694
3.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
12722
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (Q)
|
88% |
1173
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
2795
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
2822
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4291
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1234
9.51 IPS |
|
|
Depth Estimation (Q)
|
77% |
5541
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9734
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6577
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
15647
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2558
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
397
530.5 IPS |
|
|
Text Classification (Q)
|
97% |
293
392.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1268
28.3 IPS |
