LENOVO 83JQ
Geekbench AI Score
2679
Single Precision Score
23166
Half Precision Score
35234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 08:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1620
301.3 IPS |
|
|
Image Classification (HP)
|
100% |
11485
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
16325
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16227
263.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31641
512.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2907
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
102226
119.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
201765
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
15474
1.23 KIPS |
|
|
Object Detection (Q)
|
87% |
22836
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
31667
376.3 IPS |
|
|
Face Detection (Q)
|
100% |
67006
796.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4059
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68435
527.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
107239
834.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8504
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201434
258.9 IPS |
|
|
Style Transfer (Q)
|
98% |
304424
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31909
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53888
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2759
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3810
65.6 IPS |
