LENOVO 82XT
Geekbench AI Score
2817
Single Precision Score
2818
Half Precision Score
1857
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 08 2025 07:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 82XT |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
1996
371.2 IPS |
|
|
Image Classification (Q)
|
99% |
1447
269.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3314
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3310
3.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
3852
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (Q)
|
85% |
1265
101.8 IPS |
|
|
Face Detection (SP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
3430
40.8 IPS |
|
|
Face Detection (Q)
|
97% |
2834
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3336
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3338
25.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2303
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4005
5.15 IPS |
|
|
Style Transfer (HP)
|
100% |
4042
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
6741
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1773
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (Q)
|
58% |
753
17.7 IPS |
