LENOVO 83G0
Geekbench AI Score
3582
Single Precision Score
3551
Half Precision Score
8308
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 10:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83G0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1976
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
1967
365.9 IPS |
|
|
Image Classification (Q)
|
100% |
5496
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6319
102.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5998
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6201
7.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
17896
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1860
147.5 IPS |
|
|
Object Detection (HP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (Q)
|
88% |
5557
445.5 IPS |
|
|
Face Detection (SP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
6549
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
14001
166.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6206
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6051
46.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
15575
121.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18270
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17610
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
51014
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2983
110.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2791
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9519
352.5 IPS |
|
|
Text Classification (SP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1698
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3166
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1354
23.3 IPS |
