Lecoo Feng7000
Geekbench AI Score
4101
Single Precision Score
4116
Half Precision Score
9514
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 11:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Lecoo Feng7000 |
| Motherboard | Lecoo Feng7000 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2631
489.2 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.1 IPS |
|
|
Image Classification (Q)
|
100% |
5839
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3212
52.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6005
97.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4964
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4960
5.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
18427
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (Q)
|
88% |
6184
495.8 IPS |
|
|
Face Detection (SP)
|
100% |
5428
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
5611
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
14229
169.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6431
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6438
49.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
15839
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14753
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14578
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51218
66.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3059
112.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9959
368.8 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3553
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3724
64.1 IPS |
