Dell Inc. Precision 5820 Tower
Geekbench AI Score
122
Single Precision Score
122
Half Precision Score
90
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 20 2024 07:35 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon W-2295 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 06JWJY |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2295 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
71
13.2 IPS |
|
|
Image Classification (HP)
|
100% |
69
12.9 IPS |
|
|
Image Classification (Q)
|
97% |
55
10.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
97
1.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
73
1.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
116
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
116
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
98
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.41 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.40 IPS |
|
|
Object Detection (Q)
|
88% |
55
4.38 IPS |
|
|
Face Detection (SP)
|
100% |
235
2.79 IPS |
|
|
Face Detection (HP)
|
100% |
234
2.79 IPS |
|
|
Face Detection (Q)
|
97% |
174
2.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
164
1.27 IPS |
|
|
Depth Estimation (HP)
|
100% |
164
1.26 IPS |
|
|
Depth Estimation (Q)
|
75% |
127
1.03 IPS |
|
|
Style Transfer (SP)
|
100% |
347
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
347
0.45 IPS |
|
|
Style Transfer (Q)
|
98% |
294
0.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76
2.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
76
2.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
60
2.23 IPS |
|
|
Text Classification (SP)
|
100% |
86
115.0 IPS |
|
|
Text Classification (HP)
|
100% |
86
115.3 IPS |
|
|
Text Classification (Q)
|
91% |
59
79.4 IPS |
|
|
Machine Translation (SP)
|
100% |
161
2.78 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (Q)
|
58% |
78
1.87 IPS |
