LENOVO 83GS
Geekbench AI Score
2187
Single Precision Score
1128
Half Precision Score
3066
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83GS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450HX |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (Q)
|
99% |
2338
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1948
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3631
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2888
3.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
13083
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
88% |
1499
120.2 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
3309
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4368
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1646
12.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5930
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8992
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7402
9.52 IPS |
|
|
Style Transfer (Q)
|
98% |
15600
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3267
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.5 IPS |
|
|
Text Classification (Q)
|
97% |
501
671.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1643
36.7 IPS |
