Dell Inc. Precision 5690
Geekbench AI Score
2071
Single Precision Score
862
Half Precision Score
2910
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 08:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5690 |
| Motherboard | Dell Inc. 088TDK |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.2 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
99% |
2919
544.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2144
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2251
2.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
17511
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
88% |
1081
86.7 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
2747
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4871
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1249
9.62 IPS |
|
|
Depth Estimation (Q)
|
77% |
5168
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8834
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6363
8.18 IPS |
|
|
Style Transfer (Q)
|
98% |
14365
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2666
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
421
561.5 IPS |
|
|
Text Classification (Q)
|
97% |
424
567.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1599
35.7 IPS |
