LENOVO 82TB
Geekbench AI Score
13251
Single Precision Score
23085
Half Precision Score
8789
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erickdeoliveiraleal |
| Upload Date | June 22 2025 01:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82TB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5350
995.0 IPS |
|
|
Image Classification (HP)
|
99% |
8746
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
4230
788.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9326
151.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13535
219.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7181
116.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
62992
73.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
183821
214.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
53101
62.2 IPS |
|
|
Object Detection (SP)
|
100% |
7007
555.8 IPS |
|
|
Object Detection (HP)
|
100% |
12135
962.6 IPS |
|
|
Object Detection (Q)
|
85% |
4753
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
14415
171.3 IPS |
|
|
Face Detection (HP)
|
100% |
25734
305.8 IPS |
|
|
Face Detection (Q)
|
97% |
12351
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32493
250.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63606
491.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22174
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
108284
139.2 IPS |
|
|
Style Transfer (HP)
|
100% |
276389
355.3 IPS |
|
|
Style Transfer (Q)
|
98% |
86523
111.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20113
742.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33364
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12026
445.3 IPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3290
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1092
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2981
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1153
21.6 IPS |
