LENOVO 10AB0011US
Geekbench AI Score
760
Single Precision Score
742
Half Precision Score
441
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | YGRIG |
| Upload Date | November 19 2024 10:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4765T |
| System Information | |
|---|---|
| Operating System | Ubuntu Oracular Oriole (development branch) |
| Model | LENOVO 10AB0011US |
| Motherboard | LENOVO SHARKBAY |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4765T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
567
105.5 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
99% |
294
54.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
271
4.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
836
0.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
748
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
85% |
322
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
702
8.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
919
7.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
888
6.84 IPS |
|
|
Depth Estimation (Q)
|
63% |
606
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1242
1.60 IPS |
|
|
Style Transfer (HP)
|
100% |
1256
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1580
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
407
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.9 IPS |
|
|
Text Classification (HP)
|
100% |
708
945.0 IPS |
|
|
Text Classification (Q)
|
92% |
237
317.9 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
58% |
227
5.32 IPS |
