FUJITSU LIFEBOOK E754
Geekbench AI Score
1372
Single Precision Score
1362
Half Precision Score
1439
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sharg |
| Upload Date | November 18 2025 12:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4712MQ CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | FUJITSU LIFEBOOK E754 |
| Motherboard | FUJITSU FJNB26F |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4712MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
812
150.9 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (Q)
|
100% |
826
153.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1081
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1717
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1713
2.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
1975
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (HP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
87% |
935
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
1747
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
2582
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2162
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2113
16.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
2395
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5018
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
4994
6.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5694
7.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1178
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (Q)
|
91% |
411
551.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1355
23.3 IPS |
