LENOVO INVALID
Geekbench AI Score
1913
Single Precision Score
966
Half Precision Score
3810
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 07:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| 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% |
1676
311.7 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
96% |
3891
726.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
4292
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2885
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2605
3.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
8111
9.59 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
58% |
2374
259.4 IPS |
|
|
Face Detection (SP)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
5458
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3479
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1228
9.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
6652
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6613
8.50 IPS |
|
|
Style Transfer (HP)
|
100% |
5304
6.82 IPS |
|
|
Style Transfer (Q)
|
87% |
8869
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3112
115.3 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
632
842.9 IPS |
|
|
Text Classification (Q)
|
97% |
1179
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (Q)
|
68% |
1699
32.8 IPS |
