LENOVO 83JM
Geekbench AI Score
5049
Single Precision Score
10102
Half Precision Score
15493
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Axelbruh |
| Upload Date | January 08 2026 01:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3097
575.9 IPS |
|
|
Image Classification (HP)
|
100% |
6985
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9657
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4007
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7033
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
33360
38.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73118
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (HP)
|
100% |
5983
474.5 IPS |
|
|
Object Detection (Q)
|
88% |
10105
810.1 IPS |
|
|
Face Detection (SP)
|
100% |
7464
88.7 IPS |
|
|
Face Detection (HP)
|
100% |
18107
215.1 IPS |
|
|
Face Detection (Q)
|
100% |
32745
389.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8107
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19540
150.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35635
277.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19513
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
57038
73.3 IPS |
|
|
Style Transfer (Q)
|
98% |
100178
129.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15656
578.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30238
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2096
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4504
77.6 IPS |
