Dell Inc. Precision 5690
Geekbench AI Score
9824
Single Precision Score
17019
Half Precision Score
7973
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| 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% |
3873
720.2 IPS |
|
|
Image Classification (HP)
|
99% |
7201
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
3845
715.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6858
111.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8415
136.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6029
98.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47885
55.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
145005
169.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
44049
51.6 IPS |
|
|
Object Detection (SP)
|
100% |
4869
386.2 IPS |
|
|
Object Detection (HP)
|
100% |
8160
647.3 IPS |
|
|
Object Detection (Q)
|
89% |
4112
329.1 IPS |
|
|
Face Detection (SP)
|
100% |
9409
111.8 IPS |
|
|
Face Detection (HP)
|
100% |
16704
198.5 IPS |
|
|
Face Detection (Q)
|
97% |
8485
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25796
198.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46502
358.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
19119
154.2 IPS |
|
|
Style Transfer (SP)
|
100% |
86167
110.8 IPS |
|
|
Style Transfer (HP)
|
100% |
241707
310.7 IPS |
|
|
Style Transfer (Q)
|
98% |
84055
108.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17498
646.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25741
950.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12754
472.3 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2486
3.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1407
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1011
22.5 IPS |
