LENOVO 83DN
Geekbench AI Score
19033
Single Precision Score
31568
Half Precision Score
14653
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 03:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7525
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
12571
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
6869
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14130
229.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18643
302.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12806
208.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
96637
112.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
293396
342.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
83434
97.8 IPS |
|
|
Object Detection (SP)
|
100% |
9038
716.9 IPS |
|
|
Object Detection (HP)
|
100% |
15382
1.22 KIPS |
|
|
Object Detection (Q)
|
85% |
7750
623.9 IPS |
|
|
Face Detection (SP)
|
100% |
22972
273.0 IPS |
|
|
Face Detection (HP)
|
100% |
36846
437.8 IPS |
|
|
Face Detection (Q)
|
97% |
20083
239.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
41650
320.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84095
647.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
33549
268.1 IPS |
|
|
Style Transfer (SP)
|
100% |
180248
231.7 IPS |
|
|
Style Transfer (HP)
|
100% |
435656
560.0 IPS |
|
|
Style Transfer (Q)
|
98% |
151561
195.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33482
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46097
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23041
853.2 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
3549
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3968
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4208
72.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1963
36.8 IPS |
