Dell Inc. Precision 7920 Tower
Geekbench AI Score
2508
Single Precision Score
2497
Half Precision Score
3863
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pingfan2 |
| Upload Date | January 17 2025 03:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Gold 5115 CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Precision 7920 Tower |
| Motherboard | Dell Inc. 0RN4PJ |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 5115 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1605
298.5 IPS |
|
|
Image Classification (HP)
|
100% |
1621
301.5 IPS |
|
|
Image Classification (Q)
|
100% |
2565
477.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3006
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3480
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
6928
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
1529
121.2 IPS |
|
|
Object Detection (Q)
|
87% |
2543
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (Q)
|
97% |
7245
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4011
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3874
29.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
6597
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9480
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9511
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18318
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2000
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3692
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1242
1.66 KIPS |
|
|
Text Classification (Q)
|
91% |
1102
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1530
26.4 IPS |
