Dell Inc. Precision 5690
Geekbench AI Score
2908
Single Precision Score
1238
Half Precision Score
3721
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 01:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| 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% |
1766
328.5 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (Q)
|
99% |
3129
583.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2470
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5650
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3566
4.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
21757
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1903
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
88% |
1621
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
3787
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6311
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7236
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13838
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8952
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19420
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.8 IPS |
|
|
Text Classification (Q)
|
97% |
505
675.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1990
44.4 IPS |
