Dell Inc. Precision 5490
Geekbench ML Score
2891
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 06:00 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5490 |
| Motherboard | Dell Inc. 0KFJPY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1554
290.8 IPS |
|
|
Image Classification (F16)
|
100% |
1574
294.5 IPS |
|
|
Image Classification (I8)
|
99% |
2655
496.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1492
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1441
24.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2196
36.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5298
6.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
5059
6.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
20168
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1478
110.3 IPS |
|
|
Object Detection (F16)
|
100% |
1439
107.4 IPS |
|
|
Object Detection (I8)
|
62% |
1388
103.6 IPS |
|
|
Face Detection (F32)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (F16)
|
100% |
3429
40.8 IPS |
|
|
Face Detection (I8)
|
89% |
3352
39.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5813
45.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5744
44.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
10929
84.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12440
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12031
15.8 IPS |
|
|
Style Transfer (I8)
|
98% |
18271
24.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2360
84.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2056
73.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3704
132.3 IPS |
|
|
Text Classification (F32)
|
100% |
967
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
1037
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
367
527.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1512
27.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1483
27.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2295
42.2 IPS |
