LENOVO 83N2
Geekbench AI Score
21647
Single Precision Score
40757
Half Precision Score
16865
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | leonecrsp |
| Upload Date | December 24 2025 02:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83N2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8879
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
16030
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
8215
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17274
280.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26342
427.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15774
256.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
110914
129.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
356489
416.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
99422
116.5 IPS |
|
|
Object Detection (SP)
|
100% |
11276
894.4 IPS |
|
|
Object Detection (HP)
|
100% |
20051
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
9639
778.8 IPS |
|
|
Face Detection (SP)
|
100% |
28913
343.5 IPS |
|
|
Face Detection (HP)
|
100% |
47899
569.1 IPS |
|
|
Face Detection (Q)
|
97% |
25428
303.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
51063
393.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
107108
825.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
40648
324.4 IPS |
|
|
Style Transfer (SP)
|
100% |
161112
207.1 IPS |
|
|
Style Transfer (HP)
|
100% |
543844
699.1 IPS |
|
|
Style Transfer (Q)
|
98% |
136450
175.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29280
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60739
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23879
884.2 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4272
5.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2156
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5088
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5789
99.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2065
38.7 IPS |
