Dell Inc. Precision 5690
Geekbench AI Score
8514
Single Precision Score
12203
Half Precision Score
18638
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:06 PM |
| Views | 5 |
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% |
5760
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
7951
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
9018
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5114
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11547
187.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16454
266.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
25716
30.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23283
27.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
77781
91.1 IPS |
|
|
Object Detection (SP)
|
100% |
5501
436.4 IPS |
|
|
Object Detection (HP)
|
100% |
8546
677.8 IPS |
|
|
Object Detection (Q)
|
88% |
11613
930.7 IPS |
|
|
Face Detection (SP)
|
100% |
10760
127.8 IPS |
|
|
Face Detection (HP)
|
100% |
17517
208.1 IPS |
|
|
Face Detection (Q)
|
100% |
26817
318.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19723
152.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
34511
266.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
37015
287.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60979
78.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71736
92.2 IPS |
|
|
Style Transfer (Q)
|
98% |
168937
217.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9347
345.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15095
557.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21711
804.0 IPS |
|
|
Text Classification (SP)
|
71% |
1381
2.00 KIPS |
|
|
Text Classification (HP)
|
71% |
1706
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
2885
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3592
62.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3594
61.9 IPS |
