LENOVO 83SK
Geekbench AI Score
5307
Single Precision Score
38779
Half Precision Score
57742
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83SK |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X9 388H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3219
598.7 IPS |
|
|
Image Classification (HP)
|
100% |
23247
4.32 KIPS |
|
|
Image Classification (Q)
|
100% |
29537
5.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3893
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15169
245.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23071
375.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
121413
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
274053
321.2 IPS |
|
|
Object Detection (SP)
|
100% |
3050
241.9 IPS |
|
|
Object Detection (HP)
|
100% |
25870
2.05 KIPS |
|
|
Object Detection (Q)
|
87% |
35340
2.84 KIPS |
|
|
Face Detection (SP)
|
100% |
9376
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
59685
709.2 IPS |
|
|
Face Detection (Q)
|
100% |
86267
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98897
761.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
190013
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
18048
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
253040
325.3 IPS |
|
|
Style Transfer (Q)
|
98% |
399319
514.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3924
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64095
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
115697
4.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4540
6.06 KIPS |
|
|
Text Classification (Q)
|
92% |
4820
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15978
275.2 IPS |
|
|
Machine Translation (Q)
|
100% |
17104
294.6 IPS |
