Dell Inc. Precision 3650 Tower
Geekbench AI Score
2302
Single Precision Score
2290
Half Precision Score
1440
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | September 25 2024 11:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Dell Inc. Precision 3650 Tower |
| Motherboard | Dell Inc. 0NDYHG |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (Q)
|
99% |
1057
197.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
987
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2623
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
2674
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
1976
156.8 IPS |
|
|
Object Detection (Q)
|
85% |
881
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
2308
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2492
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2490
19.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1900
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2828
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2836
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
5168
6.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1437
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
737
989.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2592
44.7 IPS |
|
|
Machine Translation (Q)
|
58% |
650
15.3 IPS |
