LENOVO 83N0
Geekbench ML Score
7101
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 06:08 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83N0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z2 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3001
561.6 IPS |
|
|
Image Classification (F16)
|
100% |
3043
569.4 IPS |
|
|
Image Classification (I8)
|
100% |
2647
495.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4248
70.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4238
70.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3463
57.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
39190
47.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
39423
47.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
31669
38.3 IPS |
|
|
Object Detection (F32)
|
100% |
2179
162.7 IPS |
|
|
Object Detection (F16)
|
100% |
2214
165.3 IPS |
|
|
Object Detection (I8)
|
62% |
2027
151.3 IPS |
|
|
Face Detection (F32)
|
100% |
6509
77.4 IPS |
|
|
Face Detection (F16)
|
100% |
6539
77.7 IPS |
|
|
Face Detection (I8)
|
89% |
5123
60.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18850
146.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
18991
147.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
14449
112.1 IPS |
|
|
Style Transfer (F32)
|
100% |
65698
86.4 IPS |
|
|
Style Transfer (F16)
|
100% |
67256
88.5 IPS |
|
|
Style Transfer (I8)
|
98% |
49855
65.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10694
381.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11502
410.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8487
303.1 IPS |
|
|
Text Classification (F32)
|
100% |
2197
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
2189
3.15 KIPS |
|
|
Text Classification (I8)
|
98% |
1659
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
3470
63.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3412
62.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1966
36.2 IPS |
