Dell Inc. Precision 5690
Geekbench AI Score
9950
Single Precision Score
16518
Half Precision Score
7784
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:58 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% |
3926
730.1 IPS |
|
|
Image Classification (HP)
|
99% |
6442
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
3637
676.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6577
106.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8492
137.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6309
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
49402
57.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
164333
191.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
41608
48.7 IPS |
|
|
Object Detection (SP)
|
100% |
4911
389.6 IPS |
|
|
Object Detection (HP)
|
100% |
8264
655.5 IPS |
|
|
Object Detection (Q)
|
89% |
4036
323.1 IPS |
|
|
Face Detection (SP)
|
100% |
10167
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
15344
182.3 IPS |
|
|
Face Detection (Q)
|
97% |
8176
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24715
190.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48118
370.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
19407
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80060
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
196611
252.7 IPS |
|
|
Style Transfer (Q)
|
98% |
76319
98.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16714
617.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30601
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13308
492.8 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2423
3.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
60% |
960
21.4 IPS |
