Dell Inc. Precision 5690
Geekbench AI Score
6472
Single Precision Score
9916
Half Precision Score
13894
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4707
875.4 IPS |
|
|
Image Classification (HP)
|
100% |
6424
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
6031
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10461
169.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13856
224.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19817
23.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
18250
21.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
34344
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
4656
369.3 IPS |
|
|
Object Detection (HP)
|
100% |
6906
547.8 IPS |
|
|
Object Detection (Q)
|
88% |
9325
747.3 IPS |
|
|
Face Detection (SP)
|
100% |
9883
117.4 IPS |
|
|
Face Detection (HP)
|
100% |
18839
223.8 IPS |
|
|
Face Detection (Q)
|
100% |
28165
334.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17266
133.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
27581
213.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
30469
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29642
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31538
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
122883
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7443
274.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12268
453.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17447
646.1 IPS |
|
|
Text Classification (SP)
|
71% |
1531
2.21 KIPS |
|
|
Text Classification (HP)
|
71% |
1918
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2816
48.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2843
49.0 IPS |
