LENOVO 83JQ
Geekbench AI Score
2922
Single Precision Score
20769
Half Precision Score
29946
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 30 2025 10:26 AM |
| Views | 2 |
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 83JQ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1627
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
11181
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
13822
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15167
245.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31818
515.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
101530
118.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
189874
222.4 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
13349
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
20070
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
5009
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
28875
343.1 IPS |
|
|
Face Detection (Q)
|
100% |
51890
616.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4367
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
62499
481.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
96732
752.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9347
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
198176
254.8 IPS |
|
|
Style Transfer (Q)
|
98% |
275243
354.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26432
976.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38855
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2063
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
1917
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3363
57.9 IPS |
