LENOVO 83F1
Geekbench AI Score
2864
Single Precision Score
2819
Half Precision Score
1885
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | August 22 2025 04:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 83F1 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (Q)
|
99% |
1391
259.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2746
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2750
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1261
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3073
3.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
3697
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
100% |
1666
132.1 IPS |
|
|
Object Detection (Q)
|
85% |
1159
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (Q)
|
97% |
2998
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3466
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3490
26.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2351
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4080
5.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4095
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6911
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1977
73.2 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3479
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (Q)
|
58% |
793
18.6 IPS |
