LENOVO 83E2
Geekbench AI Score
13446
Single Precision Score
23444
Half Precision Score
10693
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 09:14 PM |
| Views | 6 |
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 | Vyven |
| 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% |
5441
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
9606
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
5093
949.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9727
157.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13327
216.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8811
143.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
59949
70.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
190620
222.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
53501
62.7 IPS |
|
|
Object Detection (SP)
|
100% |
6627
525.7 IPS |
|
|
Object Detection (HP)
|
100% |
12219
969.2 IPS |
|
|
Object Detection (Q)
|
84% |
6002
484.1 IPS |
|
|
Face Detection (SP)
|
100% |
17566
208.7 IPS |
|
|
Face Detection (HP)
|
100% |
26961
320.4 IPS |
|
|
Face Detection (Q)
|
97% |
15399
183.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30111
232.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
65429
504.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
25444
203.6 IPS |
|
|
Style Transfer (SP)
|
100% |
103339
132.8 IPS |
|
|
Style Transfer (HP)
|
100% |
277935
357.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93965
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21348
788.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35262
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15871
587.7 IPS |
|
|
Text Classification (SP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
2910
3.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1480
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1569
29.4 IPS |
