Dell Inc. Precision 3460
Geekbench AI Score
3819
Single Precision Score
893
Half Precision Score
4560
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:42 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3460 |
| Motherboard | Dell Inc. 08WXMX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2240
416.6 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
99% |
4088
762.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
2750
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7455
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4558
5.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
24533
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.2 IPS |
|
|
Object Detection (Q)
|
88% |
2264
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
3867
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
349
4.15 IPS |
|
|
Face Detection (Q)
|
97% |
4344
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1072
8.26 IPS |
|
|
Depth Estimation (Q)
|
76% |
9438
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17592
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11761
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22089
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3497
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4857
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
1837
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
595
796.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2381
53.1 IPS |
