Dell Inc. Precision Tower 5810
Geekbench ML Score
13069
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 18 2024 09:25 AM |
| Views | 10 |
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 | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5724
1.07 KIPS |
|
|
Image Classification (F16)
|
100% |
6282
1.18 KIPS |
|
|
Image Classification (I8)
|
100% |
3962
741.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
8793
146.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8954
149.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
7086
118.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
148361
179.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
140072
169.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
111103
134.5 IPS |
|
|
Object Detection (F32)
|
100% |
3371
251.7 IPS |
|
|
Object Detection (F16)
|
100% |
3456
258.0 IPS |
|
|
Object Detection (I8)
|
56% |
2999
223.9 IPS |
|
|
Face Detection (F32)
|
100% |
19165
227.9 IPS |
|
|
Face Detection (F16)
|
100% |
19389
230.5 IPS |
|
|
Face Detection (I8)
|
89% |
14381
171.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
44420
344.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
44513
345.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
31882
247.2 IPS |
|
|
Style Transfer (F32)
|
100% |
218533
287.5 IPS |
|
|
Style Transfer (F16)
|
100% |
215550
283.5 IPS |
|
|
Style Transfer (I8)
|
98% |
160055
210.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26703
953.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26255
937.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16688
596.0 IPS |
|
|
Text Classification (F32)
|
100% |
1556
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1521
2.19 KIPS |
|
|
Text Classification (I8)
|
98% |
896
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
2452
45.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2457
45.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1263
23.3 IPS |
