FUJITSU CLIENT COMPUTING LIMITED FMVC75G3G
Geekbench AI Score
1212
Single Precision Score
1281
Half Precision Score
3545
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | January 31 2025 03:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVC75G3G |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNBB7C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.1 IPS |
|
|
Image Classification (Q)
|
100% |
2635
489.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2218
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1643
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1651
1.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
5495
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
88% |
2083
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (Q)
|
100% |
5580
66.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1835
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1883
14.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
5183
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4889
6.29 IPS |
|
|
Style Transfer (HP)
|
100% |
4977
6.40 IPS |
|
|
Style Transfer (Q)
|
98% |
18293
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
898
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3197
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
3073
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
100% |
903
15.5 IPS |
