LENOVO 83SK
Geekbench AI Score
17510
Single Precision Score
43487
Half Precision Score
55554
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 07:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B390 GPU (iGPU) |
| 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% |
8394
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
17235
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
27262
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20156
326.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
52705
854.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
53949
874.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
43706
51.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
225066
262.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
463082
542.2 IPS |
|
|
Object Detection (SP)
|
100% |
8942
709.3 IPS |
|
|
Object Detection (HP)
|
100% |
25095
1.99 KIPS |
|
|
Object Detection (Q)
|
88% |
30034
2.41 KIPS |
|
|
Face Detection (SP)
|
100% |
21737
258.3 IPS |
|
|
Face Detection (HP)
|
100% |
53320
633.6 IPS |
|
|
Face Detection (Q)
|
100% |
77470
920.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38665
297.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85714
660.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
105529
820.6 IPS |
|
|
Style Transfer (SP)
|
100% |
109075
140.2 IPS |
|
|
Style Transfer (HP)
|
100% |
396071
509.2 IPS |
|
|
Style Transfer (Q)
|
98% |
594258
766.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16136
595.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52723
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75720
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
5583
7.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6190
8.26 KIPS |
|
|
Text Classification (Q)
|
92% |
3845
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7981
137.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9679
166.7 IPS |
