FUJITSU FMVU7C3WD1
Geekbench AI Score
842
Single Precision Score
418
Half Precision Score
1052
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 12:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8565U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU FMVU7C3WD1 |
| Motherboard | FUJITSU FJNB2C6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
96% |
969
181.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1298
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
2332
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
58% |
642
70.1 IPS |
|
|
Face Detection (SP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.01 IPS |
|
|
Face Detection (Q)
|
96% |
2001
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1625
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
631
4.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
2425
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3312
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
1988
2.56 IPS |
|
|
Style Transfer (Q)
|
87% |
3841
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
779
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
397
529.9 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.7 IPS |
|
|
Text Classification (Q)
|
97% |
154
206.5 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
68% |
830
16.0 IPS |
