LENOVO 83L0
Geekbench AI Score
4970
Single Precision Score
2153
Half Precision Score
9445
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 08:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83L0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3162
587.9 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
99% |
8536
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10453
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8540
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6093
7.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
28064
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3674
291.4 IPS |
|
|
Object Detection (HP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (Q)
|
86% |
8788
706.3 IPS |
|
|
Face Detection (SP)
|
100% |
11151
132.5 IPS |
|
|
Face Detection (HP)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
11203
133.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10282
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3091
23.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18835
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19942
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14060
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27369
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2362
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6097
225.8 IPS |
|
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1813
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2818
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1309
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4025
80.9 IPS |
