LENOVO 83HY
Geekbench AI Score
6009
Single Precision Score
9737
Half Precision Score
4384
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | September 04 2025 06:27 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1994
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
3526
655.8 IPS |
|
|
Image Classification (Q)
|
100% |
1602
297.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3219
52.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3648
59.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2644
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
30652
35.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
60291
70.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
23742
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (Q)
|
87% |
1525
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
4999
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
8623
102.5 IPS |
|
|
Face Detection (Q)
|
97% |
4212
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12690
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21229
163.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
10128
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53140
68.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90593
116.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37532
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8833
326.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19433
717.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5883
217.8 IPS |
|
|
Text Classification (SP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1436
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2880
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1265
23.7 IPS |
