LENOVO 21F9S1WG01
Geekbench AI Score
1638
Single Precision Score
772
Half Precision Score
3545
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 06:30 AM |
| Views | 6 |
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% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
99% |
5357
999.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
4397
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
8909
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
86% |
2855
229.5 IPS |
|
|
Face Detection (SP)
|
100% |
2501
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (Q)
|
97% |
3834
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2976
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1043
8.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
3603
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5537
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
5071
6.52 IPS |
|
|
Style Transfer (Q)
|
98% |
12900
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2425
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
368
491.1 IPS |
|
|
Text Classification (Q)
|
97% |
772
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.33 IPS |
|
|
Machine Translation (Q)
|
65% |
1571
31.6 IPS |
