LENOVO 82S9
Geekbench AI Score
12489
Single Precision Score
21925
Half Precision Score
8725
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 05:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 82S9 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5016
932.8 IPS |
|
|
Image Classification (HP)
|
99% |
8246
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
3944
735.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8924
144.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13523
219.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7269
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
54539
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
172529
201.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
47625
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
6421
509.3 IPS |
|
|
Object Detection (HP)
|
100% |
11309
897.0 IPS |
|
|
Object Detection (Q)
|
85% |
5068
408.0 IPS |
|
|
Face Detection (SP)
|
100% |
15168
180.2 IPS |
|
|
Face Detection (HP)
|
100% |
25331
301.0 IPS |
|
|
Face Detection (Q)
|
97% |
12411
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29351
226.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60377
466.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
22299
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
98792
127.0 IPS |
|
|
Style Transfer (HP)
|
100% |
256827
330.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80532
103.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18362
678.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31560
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11895
440.5 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
2948
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1083
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1287
24.1 IPS |
