Dell Inc. Precision 3490
Geekbench AI Score
2684
Single Precision Score
1164
Half Precision Score
3990
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 08:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3490 |
| Motherboard | Dell Inc. 0YY8C9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.9 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
99% |
3022
563.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3109
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5340
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3345
3.90 IPS |
|
|
Pose Estimation (Q)
|
95% |
16991
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
88% |
1605
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
3770
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5853
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6946
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12210
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8412
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17519
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1900
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3056
113.2 IPS |
|
|
Text Classification (SP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.9 IPS |
|
|
Text Classification (Q)
|
97% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (Q)
|
60% |
2089
46.6 IPS |
