LENOVO 82RF
Geekbench AI Score
15848
Single Precision Score
25179
Half Precision Score
10077
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | Physicist |
| Upload Date | July 14 2025 07:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6199
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
9320
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
4291
797.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9793
158.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13485
218.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7920
128.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
95081
110.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
252518
294.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
75825
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
8091
641.8 IPS |
|
|
Object Detection (HP)
|
100% |
12668
1.00 KIPS |
|
|
Object Detection (Q)
|
88% |
5477
439.3 IPS |
|
|
Face Detection (SP)
|
100% |
17530
208.3 IPS |
|
|
Face Detection (HP)
|
100% |
26640
316.5 IPS |
|
|
Face Detection (Q)
|
97% |
13064
155.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38762
298.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
70935
546.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
25157
202.7 IPS |
|
|
Style Transfer (SP)
|
100% |
155690
200.1 IPS |
|
|
Style Transfer (HP)
|
100% |
376778
484.4 IPS |
|
|
Style Transfer (Q)
|
98% |
123427
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27134
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36191
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15146
560.9 IPS |
|
|
Text Classification (SP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3529
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1188
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1049
23.4 IPS |
