Dell Inc. Precision 7920 Tower
Geekbench AI Score
2970
Single Precision Score
2957
Half Precision Score
3940
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Gold 5122 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7920 Tower |
| Motherboard | Dell Inc. |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 5122 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1711
318.2 IPS |
|
|
Image Classification (HP)
|
100% |
1812
336.9 IPS |
|
|
Image Classification (Q)
|
100% |
2060
383.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2547
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4080
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4192
4.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
6525
7.65 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (Q)
|
87% |
2613
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (Q)
|
97% |
6934
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5125
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4998
38.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
6817
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11741
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11699
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17197
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2472
91.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2343
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3564
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1884
2.52 KIPS |
|
|
Text Classification (Q)
|
91% |
1666
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2145
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2093
36.1 IPS |
