Dell Inc. Precision 5690
Geekbench AI Score
2505
Single Precision Score
1070
Half Precision Score
3426
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 07:36 AM |
| 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% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.0 IPS |
|
|
Image Classification (Q)
|
99% |
2722
507.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2207
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
17052
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
88% |
1628
130.5 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
2992
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5745
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1357
10.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6951
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10348
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8828
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18843
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.0 IPS |
|
|
Text Classification (Q)
|
97% |
506
677.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1832
40.9 IPS |
