FUJITSU CLIENT COMPUTING LIMITED LIFEBOOK E5412
Geekbench AI Score
966
Single Precision Score
971
Half Precision Score
693
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | October 26 2024 07:25 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | FUJITSU CLIENT COMPUTING LIMITED LIFEBOOK E5412 |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB2F4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
658
122.3 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.4 IPS |
|
|
Image Classification (Q)
|
99% |
455
84.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
546
8.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1173
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
85% |
484
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1104
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1180
9.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.27 IPS |
|
|
Depth Estimation (Q)
|
63% |
891
8.36 IPS |
|
|
Style Transfer (SP)
|
100% |
1842
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1869
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2588
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
707
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
327
439.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (Q)
|
58% |
353
8.28 IPS |
