LENOVO 21F9S1WG01
Geekbench AI Score
2205
Single Precision Score
1078
Half Precision Score
4980
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 06:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21F9S1WG01 |
| Motherboard | LENOVO 21F9S1WG01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1461
271.8 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (Q)
|
99% |
4733
882.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
5211
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3500
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2835
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
13146
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1655
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
86% |
4851
389.9 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5145
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4609
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1536
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5369
42.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8496
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7681
9.87 IPS |
|
|
Style Transfer (Q)
|
98% |
16363
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4594
170.1 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
663
885.4 IPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2096
42.1 IPS |
