Dell Inc. Precision 5690
Geekbench AI Score
2980
Single Precision Score
1277
Half Precision Score
3816
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:57 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. 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% |
1616
300.5 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.7 IPS |
|
|
Image Classification (Q)
|
99% |
3274
610.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2571
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5723
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3563
4.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
21288
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
88% |
1789
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
3731
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6301
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1729
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7451
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13771
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9040
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19904
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2671
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3682
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
607
809.9 IPS |
|
|
Text Classification (Q)
|
97% |
515
690.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1714
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1948
43.5 IPS |
