FUJITSU LIFEBOOK E754
Geekbench AI Score
835
Single Precision Score
449
Half Precision Score
921
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sharg |
| Upload Date | November 18 2025 11:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4712MQ |
| 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% |
494
91.9 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
96% |
679
126.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
623
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1287
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1045
1.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
1522
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
58% |
491
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (Q)
|
96% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1610
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
1770
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3139
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2554
3.28 IPS |
|
|
Style Transfer (Q)
|
87% |
3426
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
767
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
598
797.7 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.8 IPS |
|
|
Text Classification (Q)
|
97% |
232
311.4 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
68% |
774
15.0 IPS |
