LENOVO 83DA
Geekbench AI Score
1782
Single Precision Score
1773
Half Precision Score
1170
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | exalted |
| Upload Date | January 22 2025 04:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | LENOVO 83DA |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
1398
259.9 IPS |
|
|
Image Classification (Q)
|
99% |
907
169.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
895
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2238
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2218
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
2474
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (Q)
|
85% |
922
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
2613
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
2061
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2293
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2365
18.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1629
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3134
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3139
4.04 IPS |
|
|
Style Transfer (Q)
|
98% |
4918
6.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
92% |
317
426.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (Q)
|
58% |
486
11.4 IPS |
