Dell Inc. Precision 3490
Geekbench AI Score
2701
Single Precision Score
1163
Half Precision Score
3939
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 08:51 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% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (Q)
|
99% |
3150
587.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3123
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5375
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3200
3.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
18769
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
88% |
1509
121.0 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
3632
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5517
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6977
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10841
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8370
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17862
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2330
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1588
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3094
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
501
669.1 IPS |
|
|
Text Classification (Q)
|
97% |
1203
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (Q)
|
60% |
1917
42.8 IPS |
