Dell Inc. Precision 7920 Tower
Geekbench AI Score
6251
Single Precision Score
6315
Half Precision Score
8060
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | February 13 2026 12:23 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Gold 6138 CPU @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations Insider Preview (64-bit) |
| Model | Dell Inc. Precision 7920 Tower |
| Motherboard | Dell Inc. 0RN4PJ |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6138 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3920
729.0 IPS |
|
|
Image Classification (HP)
|
100% |
3224
599.5 IPS |
|
|
Image Classification (Q)
|
100% |
4686
871.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6530
105.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6483
105.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8026
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11825
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12746
14.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
18465
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
3440
272.9 IPS |
|
|
Object Detection (HP)
|
100% |
3091
245.1 IPS |
|
|
Object Detection (Q)
|
87% |
5312
426.0 IPS |
|
|
Face Detection (SP)
|
100% |
9557
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
11057
131.4 IPS |
|
|
Face Detection (Q)
|
97% |
16031
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11238
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11843
91.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
15232
120.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30290
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34331
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
46377
59.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5496
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7873
291.6 IPS |
|
|
Text Classification (SP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (Q)
|
91% |
1205
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3006
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2922
50.3 IPS |
