LENOVO 83DM
Geekbench AI Score
2768
Single Precision Score
1240
Half Precision Score
5527
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Corbit1985 |
| Upload Date | November 27 2025 02:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2859
531.7 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (Q)
|
99% |
5239
977.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
5894
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3703
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3146
3.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
13895
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.8 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
86% |
5702
458.3 IPS |
|
|
Face Detection (SP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
7564
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1720
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5836
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9582
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8598
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17925
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4246
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
691
922.0 IPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2361
47.4 IPS |
