LENOVO 90RC00M1IN
Geekbench AI Score
18730
Single Precision Score
31382
Half Precision Score
12090
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 12:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 90RC00M1IN |
| Motherboard | LENOVO 3716 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7516
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
12047
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
5367
998.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
13270
215.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20954
339.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10103
164.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
102080
119.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
299712
349.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
82502
96.7 IPS |
|
|
Object Detection (SP)
|
100% |
9743
772.8 IPS |
|
|
Object Detection (HP)
|
100% |
15641
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
7137
574.5 IPS |
|
|
Face Detection (SP)
|
100% |
22058
262.1 IPS |
|
|
Face Detection (HP)
|
100% |
36557
434.4 IPS |
|
|
Face Detection (Q)
|
97% |
16869
201.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
45946
354.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87408
673.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
30082
240.9 IPS |
|
|
Style Transfer (SP)
|
100% |
171837
220.9 IPS |
|
|
Style Transfer (HP)
|
100% |
437285
562.1 IPS |
|
|
Style Transfer (Q)
|
98% |
132752
171.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30434
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42567
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17199
636.8 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3122
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4159
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1454
27.3 IPS |
