LENOVO 83F1
Geekbench AI Score
4849
Single Precision Score
4932
Half Precision Score
13680
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83F1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2495
464.0 IPS |
|
|
Image Classification (HP)
|
100% |
2583
480.3 IPS |
|
|
Image Classification (Q)
|
100% |
9297
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3357
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3457
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10174
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6049
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6071
7.08 IPS |
|
|
Pose Estimation (Q)
|
98% |
22829
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2817
223.4 IPS |
|
|
Object Detection (HP)
|
100% |
3089
245.0 IPS |
|
|
Object Detection (Q)
|
88% |
8638
692.5 IPS |
|
|
Face Detection (SP)
|
100% |
7447
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
7277
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
23306
276.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8206
63.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
22004
171.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16540
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16538
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
62974
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3354
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3320
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11487
425.4 IPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
5051
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4843
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6568
113.1 IPS |
