LENOVO 21FV002FUS
Geekbench AI Score
3595
Single Precision Score
1376
Half Precision Score
5931
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 01:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FV002FUS |
| Motherboard | LENOVO 21FV002FUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3020
561.6 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.9 IPS |
|
|
Image Classification (Q)
|
99% |
6086
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3494
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5451
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3910
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
18355
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (Q)
|
86% |
5614
451.2 IPS |
|
|
Face Detection (SP)
|
100% |
7025
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
7598
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7617
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1950
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10745
85.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13573
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9169
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19486
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2444
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3266
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
1479
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.1 IPS |
|
|
Text Classification (Q)
|
97% |
1647
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2877
57.8 IPS |
