Dell Inc. Precision 7920 Tower
Geekbench AI Score
19751
Single Precision Score
29195
Half Precision Score
12524
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 05:31 PM |
| Views | 4 |
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% |
7110
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
10492
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
5128
953.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12551
203.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16200
262.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9628
156.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
140227
163.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
300341
350.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
109689
128.5 IPS |
|
|
Object Detection (SP)
|
100% |
9565
758.7 IPS |
|
|
Object Detection (HP)
|
100% |
13238
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
6563
528.0 IPS |
|
|
Face Detection (SP)
|
100% |
25026
297.4 IPS |
|
|
Face Detection (HP)
|
100% |
33985
403.8 IPS |
|
|
Face Detection (Q)
|
97% |
18277
217.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53572
412.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93887
723.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
33069
264.8 IPS |
|
|
Style Transfer (SP)
|
100% |
245505
315.6 IPS |
|
|
Style Transfer (HP)
|
100% |
492139
632.7 IPS |
|
|
Style Transfer (Q)
|
98% |
167541
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32994
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47284
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17638
653.1 IPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1121
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3121
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1335
25.0 IPS |
