Dell Inc. Precision Tower 5810
Geekbench ML Score
2272
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 18 2024 09:22 AM |
| Views | 9 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1561
292.0 IPS |
|
|
Image Classification (F16)
|
100% |
1548
289.6 IPS |
|
|
Image Classification (I8)
|
97% |
1621
303.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1236
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1216
20.3 IPS |
|
|
Image Segmentation (I8)
|
97% |
1285
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6989
8.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
6701
8.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
7159
8.67 IPS |
|
|
Object Detection (F32)
|
100% |
832
62.1 IPS |
|
|
Object Detection (F16)
|
100% |
1107
82.6 IPS |
|
|
Object Detection (I8)
|
60% |
884
66.0 IPS |
|
|
Face Detection (F32)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (F16)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (I8)
|
87% |
2504
29.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6880
53.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6872
53.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
6441
50.0 IPS |
|
|
Style Transfer (F32)
|
100% |
13245
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13123
17.3 IPS |
|
|
Style Transfer (I8)
|
85% |
10278
13.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2070
73.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1834
65.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1442
51.5 IPS |
|
|
Text Classification (F32)
|
100% |
782
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
761
1.09 KIPS |
|
|
Text Classification (I8)
|
94% |
255
366.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1430
26.3 IPS |
