LENOVO 83JQ
Geekbench AI Score
2943
Single Precision Score
2132
Half Precision Score
7747
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 30 2025 10:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1795
333.9 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (Q)
|
100% |
5056
940.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4790
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3153
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2238
2.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
12051
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1636
129.7 IPS |
|
|
Object Detection (HP)
|
100% |
1259
99.8 IPS |
|
|
Object Detection (Q)
|
88% |
5195
416.4 IPS |
|
|
Face Detection (SP)
|
100% |
4994
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
4171
49.6 IPS |
|
|
Face Detection (Q)
|
100% |
11939
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4335
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3103
23.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12993
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9205
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6225
8.00 IPS |
|
|
Style Transfer (Q)
|
98% |
33676
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7026
260.2 IPS |
|
|
Text Classification (SP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4420
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3257
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3167
54.6 IPS |
