Dell Inc. Precision Tower 7810
Geekbench AI Score
650
Single Precision Score
680
Half Precision Score
716
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | rbabchis |
| Upload Date | April 01 2025 04:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2699C v4 @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. Precision Tower 7810 |
| Motherboard | Dell Inc. 0KJCC5 |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) CPU E5-2699C v4 @ 2.20GHz |
| Topology | 2 Processors, 44 Cores, 88 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
99% |
579
108.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
482
7.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1163
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
2770
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.7 IPS |
|
|
Object Detection (Q)
|
85% |
605
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (Q)
|
97% |
991
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
742
5.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
762
5.87 IPS |
|
|
Depth Estimation (Q)
|
63% |
1013
9.49 IPS |
|
|
Style Transfer (SP)
|
100% |
1057
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1115
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2609
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
796
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.9 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.3 IPS |
|
|
Text Classification (Q)
|
92% |
164
220.1 IPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
58% |
223
5.24 IPS |
