LENOVO INVALID
Geekbench AI Score
2921
Single Precision Score
4201
Half Precision Score
2214
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 07:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1144
212.7 IPS |
|
|
Image Classification (HP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (Q)
|
100% |
1027
191.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1116
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12752
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22931
26.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10065
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1227
97.4 IPS |
|
|
Object Detection (HP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (Q)
|
88% |
1090
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (Q)
|
97% |
1994
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6469
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9556
73.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5249
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36263
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16700
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6523
240.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2742
101.5 IPS |
|
|
Text Classification (SP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
652
873.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1861
32.1 IPS |
|
|
Machine Translation (Q)
|
70% |
721
13.5 IPS |
