LENOVO 83DN
Geekbench AI Score
3240
Single Precision Score
1205
Half Precision Score
2558
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 23 2025 06:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
0% |
0
651.5 IPS |
|
|
Image Classification (Q)
|
100% |
1153
214.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7534
122.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1485
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15144
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21019
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13350
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
0% |
0
315.1 IPS |
|
|
Object Detection (Q)
|
86% |
1231
99.0 IPS |
|
|
Face Detection (SP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
8663
102.9 IPS |
|
|
Face Detection (Q)
|
97% |
1255
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8034
61.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
19819
153.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
6700
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43984
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65551
84.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33299
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7522
277.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4710
174.4 IPS |
|
|
Text Classification (SP)
|
86% |
530
716.6 IPS |
|
|
Text Classification (HP)
|
99% |
359
479.2 IPS |
|
|
Text Classification (Q)
|
84% |
414
562.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
70% |
781
14.6 IPS |
