LENOVO 21D621D621
Geekbench AI Score
15704
Single Precision Score
26550
Half Precision Score
9885
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 10:41 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5500 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21D621D621 |
| Motherboard | LENOVO 21D621D621 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12950HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6982
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
11150
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
4737
881.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10113
163.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15050
244.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7889
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
82038
95.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
228713
266.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
66491
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
8121
644.2 IPS |
|
|
Object Detection (HP)
|
100% |
13822
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
5550
444.3 IPS |
|
|
Face Detection (SP)
|
100% |
15860
188.5 IPS |
|
|
Face Detection (HP)
|
100% |
27475
326.5 IPS |
|
|
Face Detection (Q)
|
97% |
11428
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
36443
280.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
70265
541.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
24442
196.7 IPS |
|
|
Style Transfer (SP)
|
100% |
156421
201.1 IPS |
|
|
Style Transfer (HP)
|
100% |
379300
487.6 IPS |
|
|
Style Transfer (Q)
|
98% |
113489
146.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23574
870.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37008
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14412
533.7 IPS |
|
|
Text Classification (SP)
|
100% |
2852
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1362
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1039
23.2 IPS |
