LENOVO 83HV
Geekbench AI Score
1518
Single Precision Score
711
Half Precision Score
3185
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 14 2025 08:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1135
211.1 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.2 IPS |
|
|
Image Classification (Q)
|
99% |
3248
605.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1602
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2324
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2081
2.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
9686
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
86% |
3193
256.6 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (Q)
|
97% |
5105
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3061
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1091
8.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
3473
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5824
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
5370
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
15432
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1766
65.4 IPS |
|
|
Text Classification (SP)
|
100% |
677
903.6 IPS |
|
|
Text Classification (HP)
|
100% |
336
448.7 IPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
65% |
1649
33.1 IPS |
