Dell Inc. Precision 5690
Geekbench AI Score
9094
Single Precision Score
13435
Half Precision Score
19631
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:40 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% |
6043
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
8138
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
8869
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5202
84.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12157
197.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16129
261.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25783
30.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23342
27.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
78069
91.4 IPS |
|
|
Object Detection (SP)
|
100% |
5572
442.0 IPS |
|
|
Object Detection (HP)
|
100% |
8578
680.4 IPS |
|
|
Object Detection (Q)
|
88% |
11740
940.8 IPS |
|
|
Face Detection (SP)
|
100% |
10973
130.4 IPS |
|
|
Face Detection (HP)
|
100% |
21264
252.7 IPS |
|
|
Face Detection (Q)
|
100% |
33619
399.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20569
158.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
35691
275.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
40468
314.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62620
80.5 IPS |
|
|
Style Transfer (HP)
|
100% |
75993
97.7 IPS |
|
|
Style Transfer (Q)
|
98% |
180998
233.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9965
368.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16632
614.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24225
897.2 IPS |
|
|
Text Classification (SP)
|
71% |
2066
2.99 KIPS |
|
|
Text Classification (HP)
|
71% |
2797
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
3037
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3606
62.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3580
61.7 IPS |
