Dell Inc. Precision Tower 7810
Geekbench AI Score
2240
Single Precision Score
779
Half Precision Score
1801
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 04:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 7810 |
| Motherboard | Dell Inc. 0KJCC5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v4 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1899
353.2 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.4 IPS |
|
|
Image Classification (Q)
|
96% |
1608
300.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
895
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4386
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3421
3.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
4500
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
58% |
1206
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
96% |
3423
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5197
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1036
7.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
4333
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9504
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7451
9.58 IPS |
|
|
Style Transfer (Q)
|
87% |
8205
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1523
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1295
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
343
458.2 IPS |
|
|
Text Classification (Q)
|
97% |
241
322.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (Q)
|
68% |
1212
23.4 IPS |
