Dell Inc. Precision 5690
Geekbench AI Score
11831
Single Precision Score
22741
Half Precision Score
9411
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | forcetrainer |
| Upload Date | January 15 2025 01:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5690 |
| Motherboard | Dell Inc. 096JV4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4826
897.4 IPS |
|
|
Image Classification (HP)
|
99% |
9604
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
4491
837.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8182
132.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13645
221.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7758
126.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
42249
49.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
147256
171.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
38398
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
5939
471.1 IPS |
|
|
Object Detection (HP)
|
100% |
12705
1.01 KIPS |
|
|
Object Detection (Q)
|
84% |
5356
432.0 IPS |
|
|
Face Detection (SP)
|
100% |
13876
164.9 IPS |
|
|
Face Detection (HP)
|
100% |
24699
293.5 IPS |
|
|
Face Detection (Q)
|
97% |
11976
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22514
173.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55567
429.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
19545
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
89670
115.3 IPS |
|
|
Style Transfer (HP)
|
100% |
287629
369.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81161
104.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22061
814.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34110
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15718
582.0 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3188
4.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1570
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1623
30.4 IPS |
