LENOVO Yoga Pro 7i LENOVO 83E2
Geekbench AI Score
11983
Single Precision Score
19236
Half Precision Score
9820
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dynax |
| Upload Date | April 09 2025 01:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4639
862.8 IPS |
|
|
Image Classification (HP)
|
99% |
7697
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
4214
786.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9361
151.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12925
209.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8606
139.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
61547
71.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
180638
210.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
55451
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
5952
472.1 IPS |
|
|
Object Detection (HP)
|
100% |
9350
741.6 IPS |
|
|
Object Detection (Q)
|
84% |
5291
426.7 IPS |
|
|
Face Detection (SP)
|
100% |
14880
176.8 IPS |
|
|
Face Detection (HP)
|
100% |
20460
243.1 IPS |
|
|
Face Detection (Q)
|
97% |
13115
156.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31199
240.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57043
439.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
26099
208.8 IPS |
|
|
Style Transfer (SP)
|
100% |
100363
129.0 IPS |
|
|
Style Transfer (HP)
|
100% |
241045
309.9 IPS |
|
|
Style Transfer (Q)
|
98% |
95090
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18293
675.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27803
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14795
547.8 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
99% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1143
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1425
26.7 IPS |
