Dell Inc. Precision 3490
Geekbench AI Score
2665
Single Precision Score
1139
Half Precision Score
3931
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 07:52 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% |
1505
280.0 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (Q)
|
99% |
3091
576.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3105
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5360
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3420
3.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
18475
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
88% |
1361
109.1 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
3524
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5696
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1621
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7340
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12107
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8443
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17321
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3362
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
446
595.5 IPS |
|
|
Text Classification (Q)
|
97% |
1246
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
60% |
1946
43.4 IPS |
