Dell Inc. Precision 5690
Geekbench AI Score
9387
Single Precision Score
15671
Half Precision Score
7376
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 05:27 PM |
| 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. 0CD7WC |
| 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% |
3522
654.9 IPS |
|
|
Image Classification (HP)
|
99% |
7126
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
3446
640.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5512
89.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7344
119.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4887
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
46179
53.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152189
177.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
40670
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
4797
380.5 IPS |
|
|
Object Detection (HP)
|
100% |
8561
679.1 IPS |
|
|
Object Detection (Q)
|
89% |
4035
323.0 IPS |
|
|
Face Detection (SP)
|
100% |
9926
117.9 IPS |
|
|
Face Detection (HP)
|
100% |
15547
184.7 IPS |
|
|
Face Detection (Q)
|
97% |
8181
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21570
166.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46820
360.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
16950
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
83288
107.1 IPS |
|
|
Style Transfer (HP)
|
100% |
242851
312.2 IPS |
|
|
Style Transfer (Q)
|
98% |
76206
98.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18745
692.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23006
849.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11835
438.2 IPS |
|
|
Text Classification (SP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1299
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1062
23.7 IPS |
