LENOVO 21FBA01PCD
Geekbench AI Score
25199
Single Precision Score
38724
Half Precision Score
18949
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation Laptop GPU |
| 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% |
10321
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
15913
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
8626
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15862
257.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18967
307.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14545
236.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
160144
186.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
379940
443.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
144419
169.1 IPS |
|
|
Object Detection (SP)
|
100% |
12720
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
18463
1.46 KIPS |
|
|
Object Detection (Q)
|
89% |
10391
831.9 IPS |
|
|
Face Detection (SP)
|
100% |
32544
386.7 IPS |
|
|
Face Detection (HP)
|
100% |
41262
490.3 IPS |
|
|
Face Detection (Q)
|
97% |
26715
318.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
57702
444.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
114270
880.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
44276
357.1 IPS |
|
|
Style Transfer (SP)
|
100% |
281134
361.4 IPS |
|
|
Style Transfer (HP)
|
100% |
699367
899.0 IPS |
|
|
Style Transfer (Q)
|
98% |
239072
308.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42585
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61433
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32877
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4322
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1883
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4004
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4091
70.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1811
40.4 IPS |
