Dell Inc. Precision Tower 7810
Geekbench AI Score
1452
Single Precision Score
1435
Half Precision Score
984
Quantized Score
Geekbench AI 1.2.0 Pro for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | January 28 2025 05:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Dell Inc. Precision Tower 7810 |
| Motherboard | Dell Inc. 0KJCC5 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1075
200.0 IPS |
|
|
Image Classification (HP)
|
100% |
1122
208.6 IPS |
|
|
Image Classification (Q)
|
99% |
663
123.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1860
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1946
2.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
3450
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.1 IPS |
|
|
Object Detection (HP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (Q)
|
85% |
780
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1814
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1526
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1588
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1359
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1918
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1909
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3850
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1102
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
92% |
296
397.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
58% |
297
6.97 IPS |
