Dell Inc. Precision 5690
Geekbench AI Score
2565
Single Precision Score
1138
Half Precision Score
3432
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:07 PM |
| Views | 2 |
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% |
1148
213.5 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
99% |
2044
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
2530
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3537
4.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
20669
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
88% |
1665
133.5 IPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
2598
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4105
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1792
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7105
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13157
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8960
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19115
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3670
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.1 IPS |
|
|
Text Classification (Q)
|
97% |
550
736.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1789
39.9 IPS |
