LENOVO 83HY
Geekbench AI Score
3123
Single Precision Score
1616
Half Precision Score
6573
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 06:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83HY |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2901
539.6 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (Q)
|
99% |
7512
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3642
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5175
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4386
5.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
21277
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
6925
556.5 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
8234
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5535
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1824
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13370
106.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9581
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9468
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18972
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3457
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2091
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1559
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2476
49.8 IPS |
