LENOVO 83DN
Geekbench AI Score
3573
Single Precision Score
1470
Half Precision Score
6668
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 09:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2570
478.0 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
4584
854.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7512
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4119
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
23207
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
5875
472.1 IPS |
|
|
Face Detection (SP)
|
100% |
7812
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
8324
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7639
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2144
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13677
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14753
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10205
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20383
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2528
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4309
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.2 IPS |
|
|
Text Classification (Q)
|
97% |
1335
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2776
55.8 IPS |
