FUJITSU LIFEBOOK E752
Geekbench AI Score
383
Single Precision Score
383
Half Precision Score
542
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | andreadandrea |
| Upload Date | January 05 2025 10:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3320M CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | FUJITSU LIFEBOOK E752 |
| Motherboard | FUJITSU FJNB23F |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3320M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
100% |
350
65.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
415
6.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
326
0.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
693
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
87% |
352
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (Q)
|
97% |
981
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
642
4.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.91 IPS |
|
|
Depth Estimation (Q)
|
81% |
899
7.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1047
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1045
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2093
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
426
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
350
467.0 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.6 IPS |
|
|
Text Classification (Q)
|
91% |
209
281.4 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
100% |
379
6.52 IPS |
