Dell Inc. Precision 7920 Tower
Geekbench AI Score
7167
Single Precision Score
7180
Half Precision Score
11832
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:56 PM |
| Views | 41 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Gold 6230 CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Dell Inc. Precision 7920 Tower |
| Motherboard | Dell Inc. 060K5C |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6230 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4428
823.4 IPS |
|
|
Image Classification (HP)
|
100% |
4320
803.4 IPS |
|
|
Image Classification (Q)
|
100% |
6895
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4601
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4585
74.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5756
93.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14953
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15280
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
53769
63.0 IPS |
|
|
Object Detection (SP)
|
100% |
4166
330.4 IPS |
|
|
Object Detection (HP)
|
100% |
4157
329.8 IPS |
|
|
Object Detection (Q)
|
88% |
8241
660.6 IPS |
|
|
Face Detection (SP)
|
100% |
12619
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
12606
149.8 IPS |
|
|
Face Detection (Q)
|
100% |
21117
250.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13234
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13152
101.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
28425
221.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41449
53.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41816
53.8 IPS |
|
|
Style Transfer (Q)
|
98% |
128472
165.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7610
281.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7625
281.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15498
574.0 IPS |
|
|
Text Classification (SP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2691
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2731
47.0 IPS |
