T470p CPU (Intel Core i7-7820HQ, 20J7S1K200) LENOVO 20J7S1K200
Geekbench AI Score
846
Single Precision Score
842
Half Precision Score
571
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | dotmpe |
| Upload Date | May 18 2025 02:59 AM |
| Views | 3 |
| Notes | GPU drivers not loaded |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7820HQ |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | LENOVO 20J7S1K200 |
| Motherboard | LENOVO 20J7S1K200 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.5 IPS |
|
|
Image Classification (Q)
|
99% |
421
78.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
737
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
455
7.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
964
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
928
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
889
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
85% |
392
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
888
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
943
7.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
63% |
745
6.98 IPS |
|
|
Style Transfer (SP)
|
100% |
1157
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1154
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1806
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
504
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
328
440.2 IPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
58% |
280
6.58 IPS |
