LENOVO 90V2000KCP
Geekbench AI Score
5071
Single Precision Score
1809
Half Precision Score
7029
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 01:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 90V2000KCP |
| Motherboard | LENOVO 3769 |
| Power Plan | Lenovo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4284
796.6 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
99% |
6735
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3459
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8714
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4772
5.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
30243
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
3646
289.2 IPS |
|
|
Object Detection (HP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (Q)
|
86% |
6426
516.5 IPS |
|
|
Face Detection (SP)
|
100% |
9635
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10752
128.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11186
86.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2475
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17873
142.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20954
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11674
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24521
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5629
208.4 IPS |
|
|
Text Classification (SP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
690
924.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3555
71.4 IPS |
