FUJITSU CLIENT COMPUTING LIMITED FMVUH01003
Geekbench ML Score
2227
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 27 2024 10:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVUH01003 |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB2FF |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1094
204.8 IPS |
|
|
Image Classification (F16)
|
100% |
1092
204.3 IPS |
|
|
Image Classification (I8)
|
100% |
878
164.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1838
30.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1858
31.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1339
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8878
10.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
8865
10.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
4887
5.92 IPS |
|
|
Object Detection (F32)
|
100% |
1107
82.7 IPS |
|
|
Object Detection (F16)
|
100% |
1194
89.1 IPS |
|
|
Object Detection (I8)
|
54% |
982
73.3 IPS |
|
|
Face Detection (F32)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (F16)
|
100% |
2669
31.7 IPS |
|
|
Face Detection (I8)
|
89% |
1776
21.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5450
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5462
42.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3888
30.1 IPS |
|
|
Style Transfer (F32)
|
100% |
23636
31.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23523
30.9 IPS |
|
|
Style Transfer (I8)
|
98% |
14910
19.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3271
116.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3187
113.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1401
50.0 IPS |
|
|
Text Classification (F32)
|
100% |
665
956.0 IPS |
|
|
Text Classification (F16)
|
100% |
614
882.1 IPS |
|
|
Text Classification (I8)
|
98% |
356
512.3 IPS |
|
|
Machine Translation (F32)
|
100% |
940
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
935
17.2 IPS |
|
|
Machine Translation (I8)
|
70% |
499
9.19 IPS |
