Dell Inc. Precision 5690
Geekbench AI Score
8985
Single Precision Score
13160
Half Precision Score
19302
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 05:17 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% |
5882
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
7830
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
8801
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5087
82.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11137
180.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16397
265.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
26176
30.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
23281
27.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
76566
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
5655
448.6 IPS |
|
|
Object Detection (HP)
|
100% |
8348
662.2 IPS |
|
|
Object Detection (Q)
|
88% |
11519
923.1 IPS |
|
|
Face Detection (SP)
|
100% |
10959
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
21490
255.3 IPS |
|
|
Face Detection (Q)
|
100% |
32974
391.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21109
162.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
35810
276.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
40031
311.1 IPS |
|
|
Style Transfer (SP)
|
100% |
62826
80.8 IPS |
|
|
Style Transfer (HP)
|
100% |
74234
95.4 IPS |
|
|
Style Transfer (Q)
|
98% |
179946
232.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9973
368.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16616
613.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23336
864.2 IPS |
|
|
Text Classification (SP)
|
71% |
1821
2.63 KIPS |
|
|
Text Classification (HP)
|
71% |
2722
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2898
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3559
61.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3512
60.5 IPS |
