Dell Inc. Precision 5690
Geekbench AI Score
8956
Single Precision Score
13226
Half Precision Score
19071
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 11:10 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% |
5888
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
8093
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
8999
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5115
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11855
192.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16405
265.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26040
30.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
23100
27.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
77590
90.8 IPS |
|
|
Object Detection (SP)
|
100% |
5578
442.4 IPS |
|
|
Object Detection (HP)
|
100% |
8411
667.2 IPS |
|
|
Object Detection (Q)
|
88% |
11384
912.3 IPS |
|
|
Face Detection (SP)
|
100% |
10603
126.0 IPS |
|
|
Face Detection (HP)
|
100% |
21264
252.7 IPS |
|
|
Face Detection (Q)
|
100% |
32809
389.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21218
163.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
35811
276.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
40247
312.8 IPS |
|
|
Style Transfer (SP)
|
100% |
60790
78.1 IPS |
|
|
Style Transfer (HP)
|
100% |
74787
96.1 IPS |
|
|
Style Transfer (Q)
|
98% |
180362
232.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10312
380.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16822
621.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23434
867.8 IPS |
|
|
Text Classification (SP)
|
71% |
2060
2.98 KIPS |
|
|
Text Classification (HP)
|
71% |
2818
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2666
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3256
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3281
56.5 IPS |
