Dell Inc. Precision Tower 7910
Geekbench AI Score
2912
Single Precision Score
898
Half Precision Score
3087
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deslok |
| Upload Date | January 31 2025 01:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 7910 |
| Motherboard | Dell Inc. 0215PR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v3 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2262
420.7 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
96% |
2951
551.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
1540
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8582
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
10600
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (Q)
|
58% |
2278
248.9 IPS |
|
|
Face Detection (SP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
5602
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7872
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1240
9.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
7663
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16038
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10105
13.0 IPS |
|
|
Style Transfer (Q)
|
87% |
10851
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1698
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
353
470.6 IPS |
|
|
Text Classification (Q)
|
97% |
671
898.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1352
26.1 IPS |
