Dell Inc. Precision 5690
Geekbench AI Score
9635
Single Precision Score
16284
Half Precision Score
7542
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 12:29 PM |
| Views | 3 |
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% |
3661
680.9 IPS |
|
|
Image Classification (HP)
|
99% |
6176
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
3293
612.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6468
104.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7639
123.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5581
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
48715
56.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
147947
172.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
42731
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
4066
322.6 IPS |
|
|
Object Detection (HP)
|
100% |
6971
553.0 IPS |
|
|
Object Detection (Q)
|
89% |
3666
293.4 IPS |
|
|
Face Detection (SP)
|
100% |
9775
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
14743
175.2 IPS |
|
|
Face Detection (Q)
|
97% |
7911
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22708
175.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47104
362.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
18464
148.9 IPS |
|
|
Style Transfer (SP)
|
100% |
82796
106.4 IPS |
|
|
Style Transfer (HP)
|
100% |
257083
330.5 IPS |
|
|
Style Transfer (Q)
|
98% |
79827
102.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18286
675.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31774
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13120
485.8 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
99% |
2521
3.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1489
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (Q)
|
60% |
909
20.3 IPS |
