LENOVO 83DN
Geekbench AI Score
2007
Single Precision Score
883
Half Precision Score
2600
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:56 AM |
| Views | 2 |
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% |
976
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
99% |
2101
392.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1520
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3531
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2743
3.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
13292
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
100% |
378
29.9 IPS |
|
|
Object Detection (Q)
|
88% |
1155
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
921
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
2436
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3988
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1197
9.22 IPS |
|
|
Depth Estimation (Q)
|
77% |
4592
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8829
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6647
8.54 IPS |
|
|
Style Transfer (Q)
|
98% |
12736
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1225
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3166
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
364
485.5 IPS |
|
|
Text Classification (Q)
|
97% |
316
422.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
60% |
2021
45.1 IPS |
