Dell Inc. Precision 5690
Geekbench AI Score
6336
Single Precision Score
9311
Half Precision Score
13647
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 05:04 PM |
| Views | 3 |
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% |
4360
810.9 IPS |
|
|
Image Classification (HP)
|
100% |
5973
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
6898
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3768
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10054
163.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13608
220.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16900
19.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
16217
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
35880
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4336
344.0 IPS |
|
|
Object Detection (HP)
|
100% |
6221
493.5 IPS |
|
|
Object Detection (Q)
|
88% |
8394
672.7 IPS |
|
|
Face Detection (SP)
|
100% |
9466
112.5 IPS |
|
|
Face Detection (HP)
|
100% |
18660
221.7 IPS |
|
|
Face Detection (Q)
|
100% |
25812
306.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16026
123.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
27746
214.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
40120
311.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32107
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31930
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
114803
148.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7185
265.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12178
449.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15426
571.3 IPS |
|
|
Text Classification (SP)
|
71% |
1292
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
1717
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1824
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2341
40.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2370
40.8 IPS |
