Dell Inc. Latitude 5350
Geekbench ML Score
2344
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 12:58 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5350 |
| Motherboard | Dell Inc. 0TCMF9 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
910
170.4 IPS |
|
|
Image Classification (F16)
|
100% |
964
180.4 IPS |
|
|
Image Classification (I8)
|
99% |
2287
427.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
914
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
839
14.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2519
42.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3437
4.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
3481
4.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
13537
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1057
78.9 IPS |
|
|
Object Detection (F16)
|
100% |
991
74.0 IPS |
|
|
Object Detection (I8)
|
62% |
1163
86.8 IPS |
|
|
Face Detection (F32)
|
100% |
2547
30.3 IPS |
|
|
Face Detection (F16)
|
100% |
2487
29.6 IPS |
|
|
Face Detection (I8)
|
89% |
3154
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3607
28.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3857
29.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
9455
73.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9123
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
9058
11.9 IPS |
|
|
Style Transfer (I8)
|
98% |
14448
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1830
65.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1989
71.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3595
128.4 IPS |
|
|
Text Classification (F32)
|
100% |
1048
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1052
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
908
1.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1327
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1318
24.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2311
42.5 IPS |
