LENOVO S101AC8K
Geekbench AI Score
1810
Single Precision Score
878
Half Precision Score
2020
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 12:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO S101AC8K |
| Motherboard | LENOVO 3709 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (Q)
|
96% |
1536
286.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
1495
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2892
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2654
3.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
4076
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
1260
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
2883
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
4172
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4022
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1318
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
4339
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7574
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
5938
7.63 IPS |
|
|
Style Transfer (Q)
|
87% |
7704
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1193
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1597
59.2 IPS |
|
|
Text Classification (SP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
403
538.5 IPS |
|
|
Text Classification (Q)
|
97% |
305
408.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
68% |
1413
27.3 IPS |
