FUJITSU CLIENT COMPUTING LIMITED FMVWJ2A15W
Geekbench AI Score
1475
Single Precision Score
599
Half Precision Score
2879
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 08:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVWJ2A15W |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNBB7D |
| Power Plan | Fujitsu() |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1599
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
99% |
1812
337.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1864
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1728
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1136
1.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
5291
6.20 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
86% |
1659
133.3 IPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (Q)
|
97% |
4031
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3973
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
858
6.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
7144
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4762
6.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3536
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
10128
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2457
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.1 IPS |
|
|
Text Classification (Q)
|
97% |
1163
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (Q)
|
65% |
1587
31.9 IPS |
