Dell Inc. Precision 5690
Geekbench AI Score
2965
Single Precision Score
1292
Half Precision Score
3775
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 07:04 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% |
1783
331.6 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
99% |
3095
577.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2689
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5687
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3587
4.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
21200
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1947
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
88% |
1809
145.0 IPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
3785
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6491
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1818
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7516
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13670
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9183
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19832
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3681
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
558
744.7 IPS |
|
|
Text Classification (Q)
|
97% |
498
666.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1784
39.8 IPS |
