Dell Inc. Precision 7920 Tower
Geekbench AI Score
20461
Single Precision Score
29390
Half Precision Score
12912
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 05:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7920 Tower |
| Motherboard | Dell Inc. 060K5C |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6230 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8050
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
10696
1.99 KIPS |
|
|
Image Classification (Q)
|
100% |
5575
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12821
207.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16441
266.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9755
158.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
152021
177.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
301882
352.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
113872
133.4 IPS |
|
|
Object Detection (SP)
|
100% |
9772
775.1 IPS |
|
|
Object Detection (HP)
|
100% |
12631
1.00 KIPS |
|
|
Object Detection (Q)
|
85% |
6489
522.0 IPS |
|
|
Face Detection (SP)
|
100% |
25611
304.3 IPS |
|
|
Face Detection (HP)
|
100% |
32405
385.0 IPS |
|
|
Face Detection (Q)
|
97% |
18056
215.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55304
426.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
92199
710.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
33870
271.2 IPS |
|
|
Style Transfer (SP)
|
100% |
234966
302.1 IPS |
|
|
Style Transfer (HP)
|
100% |
548608
705.2 IPS |
|
|
Style Transfer (Q)
|
98% |
171848
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34770
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47121
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19789
732.8 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1318
24.7 IPS |
