LENOVO 83LT
Geekbench AI Score
8874
Single Precision Score
8821
Half Precision Score
21997
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | turncoat |
| Upload Date | November 11 2025 02:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83LT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4937
918.2 IPS |
|
|
Image Classification (HP)
|
100% |
4766
886.4 IPS |
|
|
Image Classification (Q)
|
100% |
12664
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6690
108.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6518
105.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19085
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15140
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15200
17.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
61610
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
5168
409.9 IPS |
|
|
Object Detection (HP)
|
100% |
5113
405.6 IPS |
|
|
Object Detection (Q)
|
88% |
13648
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
13398
159.2 IPS |
|
|
Face Detection (HP)
|
100% |
12830
152.4 IPS |
|
|
Face Detection (Q)
|
100% |
35377
420.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14356
110.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14696
113.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
42394
329.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38848
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39021
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
143791
185.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7743
285.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7974
294.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23328
863.9 IPS |
|
|
Text Classification (SP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3592
4.79 KIPS |
|
|
Text Classification (Q)
|
92% |
4299
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5609
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5610
96.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6036
104.0 IPS |
