LENOVO 21FBA01PCD
Geekbench AI Score
3126
Single Precision Score
1072
Half Precision Score
3655
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21FBA01PCD |
| Motherboard | LENOVO 21FBA01PCD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
99% |
3223
601.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2788
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7041
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
21332
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2097
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
88% |
1764
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
3806
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6812
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1403
10.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7240
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16537
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7617
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
18618
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2921
107.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3288
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
437
583.3 IPS |
|
|
Text Classification (Q)
|
97% |
407
544.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (Q)
|
60% |
1834
40.9 IPS |
