LENOVO 82RF
Geekbench AI Score
15977
Single Precision Score
26247
Half Precision Score
10684
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hooverbw |
| Upload Date | October 13 2025 02:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
6311
1.17 KIPS |
|
|
Image Classification (HP)
|
99% |
11247
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
4584
852.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
11240
182.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16950
274.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8989
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
82777
96.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
241163
281.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
68235
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
8397
666.0 IPS |
|
|
Object Detection (HP)
|
100% |
12525
993.5 IPS |
|
|
Object Detection (Q)
|
85% |
6257
503.7 IPS |
|
|
Face Detection (SP)
|
100% |
20147
239.4 IPS |
|
|
Face Detection (HP)
|
100% |
32026
380.5 IPS |
|
|
Face Detection (Q)
|
97% |
15479
184.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
37333
287.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
70964
546.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
25602
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
144307
185.5 IPS |
|
|
Style Transfer (HP)
|
100% |
361541
464.8 IPS |
|
|
Style Transfer (Q)
|
98% |
114436
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25047
924.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34033
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14605
540.8 IPS |
|
|
Text Classification (SP)
|
100% |
2536
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1382
25.9 IPS |
