Dell Inc. Precision 5690
Geekbench AI Score
2136
Single Precision Score
965
Half Precision Score
2803
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:14 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% |
1149
213.6 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (Q)
|
99% |
2644
493.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1816
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4513
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3055
3.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
16960
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
88% |
1226
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
1912
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3003
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1418
10.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6549
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11164
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7809
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16873
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3001
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
1251
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
486
648.2 IPS |
|
|
Text Classification (Q)
|
97% |
394
528.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1202
26.8 IPS |
