Dell Inc. Precision 5690
Geekbench AI Score
2804
Single Precision Score
1277
Half Precision Score
3730
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:17 PM |
| Views | 2 |
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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.4 IPS |
|
|
Image Classification (Q)
|
99% |
3086
575.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2619
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5637
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3566
4.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
20733
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1875
148.7 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
88% |
1689
135.4 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
3751
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6293
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1828
14.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7307
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13439
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8908
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19697
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2419
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1632
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3471
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
594
793.0 IPS |
|
|
Text Classification (Q)
|
97% |
499
668.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1974
44.0 IPS |
