LENOVO Yoga Pro 7i LENOVO 83E2
Geekbench AI Score
3294
Single Precision Score
1303
Half Precision Score
5700
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dynax |
| Upload Date | April 09 2025 01:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| 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% |
2477
460.6 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.7 IPS |
|
|
Image Classification (Q)
|
99% |
5449
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3001
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5660
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3919
4.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
20051
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
86% |
5156
414.4 IPS |
|
|
Face Detection (SP)
|
100% |
6844
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
7886
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6966
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1813
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11612
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13289
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9436
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18557
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3461
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.8 IPS |
|
|
Text Classification (Q)
|
97% |
1448
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2516
50.6 IPS |
