LENOVO 82XV
Geekbench AI Score
2365
Single Precision Score
698
Half Precision Score
3216
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | emadmadi |
| Upload Date | September 01 2024 08:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82XV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1424
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
99% |
2250
419.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1973
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4114
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3225
3.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
13880
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
88% |
1562
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (Q)
|
97% |
3532
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4836
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
899
6.93 IPS |
|
|
Depth Estimation (Q)
|
76% |
6083
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9738
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7900
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16984
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3540
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
1491
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
622
830.5 IPS |
|
|
Text Classification (Q)
|
97% |
559
748.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1708
38.1 IPS |
