LENOVO 21FDS05V00
Geekbench AI Score
7597
Single Precision Score
15030
Half Precision Score
5337
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 26 2025 01:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A500 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21FDS05V00 |
| Motherboard | LENOVO 21FDS05V00 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3298
613.3 IPS |
|
|
Image Classification (HP)
|
99% |
6639
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
2778
518.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4725
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8358
135.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3871
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28160
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
93897
109.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
22995
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3768
298.9 IPS |
|
|
Object Detection (HP)
|
100% |
7934
629.3 IPS |
|
|
Object Detection (Q)
|
84% |
3130
252.4 IPS |
|
|
Face Detection (SP)
|
100% |
7479
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
14319
170.1 IPS |
|
|
Face Detection (Q)
|
97% |
6091
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16005
123.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36405
280.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12079
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53139
68.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150664
193.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42058
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9455
349.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19559
722.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6219
230.3 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
2930
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1087
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1159
21.7 IPS |
