LENOVO 21FWS2H100
Geekbench AI Score
2145
Single Precision Score
893
Half Precision Score
2596
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21FWS2H100 |
| Motherboard | LENOVO 21FWS2H100 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1169
217.4 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (Q)
|
99% |
2265
422.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1781
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4607
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2854
3.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
15615
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (Q)
|
88% |
1297
104.0 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
2641
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4535
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1235
9.52 IPS |
|
|
Depth Estimation (Q)
|
77% |
4616
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9393
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6930
8.91 IPS |
|
|
Style Transfer (Q)
|
98% |
17616
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1965
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2016
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
358
478.3 IPS |
|
|
Text Classification (Q)
|
97% |
312
418.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (Q)
|
60% |
1261
28.1 IPS |
