LENOVO 83D3
Geekbench AI Score
2437
Single Precision Score
1128
Half Precision Score
5609
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 10:17 PM |
| Views | 2 |
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 83D3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
5219
973.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
6409
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3520
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3097
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
14793
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
86% |
5762
463.1 IPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
7574
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4821
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1706
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5219
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8601
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8146
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18526
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
589
786.4 IPS |
|
|
Text Classification (Q)
|
97% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2474
49.7 IPS |
