LENOVO 21DC0030US
Geekbench AI Score
9445
Single Precision Score
13163
Half Precision Score
6751
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | matus201 |
| Upload Date | September 06 2024 05:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5500 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21DC0030US |
| Motherboard | LENOVO 21DC0030US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| 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% |
4039
751.1 IPS |
|
|
Image Classification (HP)
|
100% |
5192
965.5 IPS |
|
|
Image Classification (Q)
|
100% |
3121
580.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4091
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4656
75.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3654
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
66866
78.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
159923
186.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
55116
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
4566
362.2 IPS |
|
|
Object Detection (HP)
|
100% |
6194
491.3 IPS |
|
|
Object Detection (Q)
|
89% |
3474
278.1 IPS |
|
|
Face Detection (SP)
|
100% |
9365
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
12251
145.6 IPS |
|
|
Face Detection (Q)
|
97% |
7393
88.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25438
196.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47291
364.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
18777
151.1 IPS |
|
|
Style Transfer (SP)
|
100% |
122835
157.9 IPS |
|
|
Style Transfer (HP)
|
100% |
250818
322.4 IPS |
|
|
Style Transfer (Q)
|
98% |
93267
120.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18281
675.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24653
910.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11672
432.2 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (Q)
|
97% |
964
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (Q)
|
60% |
619
13.8 IPS |
