FUJITSU CLIENT COMPUTING LIMITED FMVC75G3G
Geekbench AI Score
1142
Single Precision Score
512
Half Precision Score
2075
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | January 31 2025 02:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
790
146.8 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.8 IPS |
|
|
Image Classification (Q)
|
99% |
1482
276.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1093
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1778
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1274
1.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
5833
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
86% |
1599
128.5 IPS |
|
|
Face Detection (SP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
608
7.23 IPS |
|
|
Face Detection (Q)
|
97% |
2898
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2315
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
764
5.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
4392
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4366
5.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3168
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
8488
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1363
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
517
689.9 IPS |
|
|
Text Classification (HP)
|
100% |
250
334.3 IPS |
|
|
Text Classification (Q)
|
97% |
663
887.6 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1004
20.2 IPS |
