LENOVO 83JQ
Geekbench AI Score
9630
Single Precision Score
24011
Half Precision Score
28785
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 30 2025 10:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
6180
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
13432
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
16213
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8585
139.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24982
405.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29324
475.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17694
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
96144
112.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
203904
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
5482
434.9 IPS |
|
|
Object Detection (HP)
|
100% |
12885
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
15180
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
11369
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
29182
346.7 IPS |
|
|
Face Detection (Q)
|
100% |
39228
466.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20321
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52707
406.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
62654
487.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49337
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
143847
184.9 IPS |
|
|
Style Transfer (Q)
|
98% |
172389
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8881
327.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26115
964.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32018
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4097
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4661
6.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2877
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5690
98.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6801
117.2 IPS |
