LENOVO 21FACTO1WW
Geekbench AI Score
18329
Single Precision Score
28221
Half Precision Score
14421
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 10 2024 01:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3500 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FACTO1WW |
| Motherboard | LENOVO 21FACTO1WW |
| Power Plan | Bertling Global |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7235
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
12283
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
5613
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10686
173.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13122
212.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9651
156.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
110858
129.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
296017
345.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
101004
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
8517
675.6 IPS |
|
|
Object Detection (HP)
|
100% |
11814
937.1 IPS |
|
|
Object Detection (Q)
|
85% |
7340
590.9 IPS |
|
|
Face Detection (SP)
|
100% |
23377
277.8 IPS |
|
|
Face Detection (HP)
|
100% |
29755
353.6 IPS |
|
|
Face Detection (Q)
|
97% |
21146
252.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41574
320.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79419
613.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
34670
278.5 IPS |
|
|
Style Transfer (SP)
|
100% |
184633
237.3 IPS |
|
|
Style Transfer (HP)
|
100% |
445328
572.5 IPS |
|
|
Style Transfer (Q)
|
98% |
165642
213.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34648
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44352
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25919
959.7 IPS |
|
|
Text Classification (SP)
|
100% |
3129
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1740
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3014
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1769
33.2 IPS |
