LENOVO 83E0
Geekbench AI Score
2387
Single Precision Score
939
Half Precision Score
3570
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | msalahmri |
| Upload Date | April 08 2025 03:43 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83E0 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1765
328.1 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.4 IPS |
|
|
Image Classification (Q)
|
99% |
4215
786.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1811
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4258
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2735
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
11946
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
86% |
3236
260.0 IPS |
|
|
Face Detection (SP)
|
100% |
4927
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
1031
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
5472
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4820
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1301
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8785
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8550
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5941
7.64 IPS |
|
|
Style Transfer (Q)
|
98% |
14354
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2645
97.9 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
478
637.4 IPS |
|
|
Text Classification (Q)
|
97% |
330
442.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1895
38.1 IPS |
