Dell Inc. Precision 5690
Geekbench AI Score
2910
Single Precision Score
1265
Half Precision Score
3813
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| 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% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
99% |
3146
586.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2566
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5637
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3592
4.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
21427
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1876
148.8 IPS |
|
|
Object Detection (HP)
|
100% |
563
44.7 IPS |
|
|
Object Detection (Q)
|
88% |
1755
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
3719
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6274
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1822
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7380
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13893
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9031
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19447
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2462
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3967
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
575
767.3 IPS |
|
|
Text Classification (Q)
|
97% |
516
691.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1743
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1960
43.7 IPS |
