LENOVO 83JT
Geekbench AI Score
2955
Single Precision Score
2073
Half Precision Score
7574
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 25 2025 03:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1868
347.4 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.4 IPS |
|
|
Image Classification (Q)
|
100% |
5271
980.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4951
80.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2144
2.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
10625
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (Q)
|
88% |
5056
405.3 IPS |
|
|
Face Detection (SP)
|
100% |
5124
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
4137
49.2 IPS |
|
|
Face Detection (Q)
|
100% |
11947
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4226
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3087
23.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
12864
100.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8745
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5359
6.89 IPS |
|
|
Style Transfer (Q)
|
98% |
28484
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6886
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
2081
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4367
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2854
49.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3370
58.0 IPS |
