Dell Inc. Precision Tower 5810
Geekbench ML Score
7846
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 05:57 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0K240Y |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 14 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 32.0 KB x 14 |
| L2 Cache | 256 KB x 14 |
| L3 Cache | 35.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3143
588.2 IPS |
|
|
Image Classification (F16)
|
100% |
2977
557.0 IPS |
|
|
Image Classification (I8)
|
99% |
2860
535.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5524
92.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5571
93.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
5086
84.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
76221
92.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
76879
93.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
61406
74.4 IPS |
|
|
Object Detection (F32)
|
100% |
2487
185.7 IPS |
|
|
Object Detection (F16)
|
100% |
2571
192.0 IPS |
|
|
Object Detection (I8)
|
60% |
2410
179.9 IPS |
|
|
Face Detection (F32)
|
100% |
10552
125.5 IPS |
|
|
Face Detection (F16)
|
100% |
10438
124.1 IPS |
|
|
Face Detection (I8)
|
88% |
8633
102.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
25090
194.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
24846
192.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
21738
168.6 IPS |
|
|
Style Transfer (F32)
|
100% |
148775
195.7 IPS |
|
|
Style Transfer (F16)
|
100% |
149175
196.2 IPS |
|
|
Style Transfer (I8)
|
98% |
117958
155.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13981
499.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13799
492.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10987
392.4 IPS |
|
|
Text Classification (F32)
|
90% |
578
830.2 IPS |
|
|
Text Classification (F16)
|
90% |
553
795.1 IPS |
|
|
Text Classification (I8)
|
90% |
478
687.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1586
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1086
20.0 IPS |
