FUJITSU LIFEBOOK E752
Geekbench AI Score
478
Single Precision Score
227
Half Precision Score
351
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | andreadandrea |
| Upload Date | January 05 2025 10:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3320M |
| 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% |
281
52.3 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (Q)
|
97% |
212
39.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
639
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
497
0.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
435
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.47 IPS |
|
|
Object Detection (Q)
|
86% |
211
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
638
7.58 IPS |
|
|
Face Detection (HP)
|
100% |
169
2.01 IPS |
|
|
Face Detection (Q)
|
97% |
651
7.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
795
6.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
347
2.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
513
4.08 IPS |
|
|
Style Transfer (SP)
|
100% |
1586
2.04 IPS |
|
|
Style Transfer (HP)
|
100% |
1308
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1072
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
257
9.53 IPS |
|
|
Text Classification (SP)
|
100% |
362
483.2 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.4 IPS |
|
|
Text Classification (Q)
|
97% |
280
374.5 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.53 IPS |
|
|
Machine Translation (Q)
|
65% |
236
4.75 IPS |
